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ORCIDFrontiers in Artificial Intelligence, Volume 8
Volume 8, 2025
- Julliana Caroline Goncalves de A. S. Marques, Bruno Motta de Carvalho, Luiz Affonso Guedes, Márjory Da Costa-Abreu:
Pattern recognition in SARS cases: insights from t-SNE and k-means clustering applied to COVID-19 symptomatology. - Karthik Menon, Thomas Tcheng, Cairn Seale, David Greene, Martha Morrell
, Sharanya Arcot Desai:
Reconstructing signal during brain stimulation with Stim-BERT: a self-supervised learning model trained on millions of iEEG files. - Pegah Ramezani, Achim Schilling, Patrick Krauss:
Analysis of argument structure constructions in the large language model BERT. - Ida Mohammadi, Setayesh Farahani, Asal Karimi, Saina Jahanian, Shahryar Rajai Firouzabadi, Mohammadreza Alinejadfard, Alireza Fatemi, Bardia Hajikarimloo, Mohammadhosein Akhlaghpasand:
Mortality prediction of heart transplantation using machine learning models: a systematic review and meta-analysis. - Rasita Vinay, Giovanni Spitale, Nikola Biller-Andorno, Federico Germani:
Emotional prompting amplifies disinformation generation in AI large language models. - Fawad Naseer, Abdullah Addas, Muhammad Tahir, Muhammad Nasir Khan, Noreen Sattar:
Integrating generative adversarial networks with IoT for adaptive AI-powered personalized elderly care in smart homes. - Ranan Venancio, Vítor Filipe, Adelaide Cerveira, Lio Gonçalves:
Advanced driving assistance integration in electric motorcycles: road surface classification with a focus on gravel detection using deep learning. - Bilal Abu-Salih, Marwan Al-Tawil, Ansar Khoury, Dana Al Qudah, Isra'a Abu Zaid, Marwa Alabdale, Dima Azar:
MAD-Onto: an ontology design for mobile app development. - Namdeo Baban Badhe, Rahul P. Neve, Vijaykumar P. Yele, Swati Abhang, Komal Madhukar Dhule, Darshan Mali:
An optimized system for predicting energy usage in smart grids using temporal fusion transformer and Aquila optimizer. - Yuling Bin, Rumei Peng, Yaqian Lee, Zhijie Lee, Yang Liu:
Artificial intelligence-assisted capsule endoscopy for detecting lesions in Crohn's disease: a systematic review and meta-analysis. - Ali R. Abdellah, Ahmed Abdelmoaty, Abdelhamied A. Ateya, Ahmed A. Abd El-Latif, Ammar Muthanna, Andrey Koucheryavy:
Accurate V2X traffic prediction with deep learning architectures. - Xinguo Wang, Jinbo Zhao, Yufu Li, Zhibin Li:
Optimized design and performance evaluation of long-pressure-short-extraction ventilation and dust removal system based on the Coanda effect. - Ying Huang, Xiaokan Wang, Yong Zhang, Li Chen, Hongji Zhang:
Application of human-in-the-loop hybrid augmented intelligence approach in security inspection system. - Thiago Fellipe Ortiz de Camargo, Guilherme Alberto Sousa Ribeiro, Maria Carolina Bueno da Silva, Luan Oliveira da Silva, Pedro Paulo Teixeira e Silva Torres, Denise do Socorro da Silva Rodrigues, Mayler Olombrada Nunes de Santos, William Salibe Filho, Marcela Emer Egypto Rosa, Magdala de Araujo Novaes, Thiago Augusto Massarutto, Osvaldo Landi Junior, Elaine Yanata, Marcio Rodrigues da Cunha Reis, Gilberto Szarf, Pedro Vieira Santana Netto, Joselisa Peres Queiroz de Paiva:
Clinical validation of an artificial intelligence algorithm for classifying tuberculosis and pulmonary findings in chest radiographs. - Christina Hastings Blow, Lijun Qian, Camille Gibson, Pamela Obiomon, Xishuang Dong:
Data augmentation via diffusion model to enhance AI fairness. - Faisal Binzagr, Anas Waleed Abulfaraj:
InGSA: integrating generalized self-attention in CNN for Alzheimer's disease classification. - Haruna Jallow, Ronald Waweru Mwangi, Alieu Gibba, Herbert Imboga:
Transfer learning for predicting of gross domestic product growth based on remittance inflows using RNN-LSTM hybrid model: a case study of The Gambia. - Nicola Angius, Pietro Perconti, Alessio Plebe, Alessandro Acciai:
Making sense of transformer success. - Yuanqi Chen, Aiping Wang, Ziyang Liu, Jie Yue, Enxu Zhang, Fei Li, Ning Zhang:
MoSViT: a lightweight vision transformer framework for efficient disease detection via precision attention mechanism. - Yanchen Wang, Lisa Singh:
Impact on bias mitigation algorithms to variations in inferred sensitive attribute uncertainty. - Barry Dauphin, Caleb Siefert:
From Llama to language: prompt-engineering allows general-purpose artificial intelligence to rate narratives like expert psychologists. - Illya Chaikovsky, Dmytro Dziuba, Olga Kryvova, Katerina Marushko, Julia Vakulenko, Kyrylo Malakhov, Oleg Loskutov:
Subtle changes on electrocardiogram in severe patients with COVID-19 may be predictors of treatment outcome. - Sukriti Bhattacharya, German Castignani, Leandro Masello, Barry Sheehan:
AI revolution in insurance: bridging research and reality. - Ashraf Elnashar, Jules White, Douglas C. Schmidt:
Enhancing structured data generation with GPT-4o evaluating prompt efficiency across prompt styles. - Degninou Yehadji, Geraldine Gray, Carlos Arias Vicente, Petros Isaakidis, Abdourahimi Diallo, Saa Andre Kamano, Thierno Saidou Diallo:
Development of machine learning algorithms to predict viral load suppression among HIV patients in Conakry (Guinea). - Eshetie Gizachew Addisu, Tahayu Gizachew Yirga, Hailu Gizachew Yirga, Alemu Demeke Yehuala:
Transfer learning-based hybrid VGG16-machine learning approach for heart disease detection with explainable artificial intelligence. - Arantxa M. Ortega León, Daniel Urda, Ignacio J. Turias, Simón Pedro Lubián-López, Isabel Benavente-Fernández:
Machine learning techniques for predicting neurodevelopmental impairments in premature infants: a systematic review. - Nikolaos Kondylidis, Ilaria Tiddi, Annette ten Teije:
A framework for establishing shared, task-oriented understanding in hybrid open multi-agent systems. - Zheng Cao, Helyette Geman:
A hype-adjusted probability measure for NLP stock return forecasting. - Austin A. Barr, Joshua Quan, Eddie Guo, Emre Sezgin:
Large language models generating synthetic clinical datasets: a feasibility and comparative analysis with real-world perioperative data. - Runyang Gao, Danghui Yu, Biao Gao, Heng Hua, Zhaoyang Hui, Jingquan Gao, Cha Yin:
Legal regulation of AI-assisted academic writing: challenges, frameworks, and pathways. - Naoufal Sirri, Christophe Guyeux:
Traditional vs. AI-generated meteorological risks for emergency predictions. - Che Wei Chang, Hanwei Wang, Feipei Lai, Mesakh Christian, Shih Chen Huang, Han Yi Tsai:
Comparison of 3D and 2D area measurement of acute burn wounds with LiDAR technique and deep learning model. - Renfei Liu, François Lauze, Erik J. Bekkers, Sune Darkner, Kenny Erleben:
SE(3) group convolutional neural networks and a study on group convolutions and equivariance for DWI segmentation. - Raúl Jiménez-Cruz, Cornelio Yáñez-Márquez, Miguel González-Mendoza, Yenni Villuendas-Rey, Raúl Monroy:
Spherical model for Minimalist Machine Learning paradigm in handling complex databases. - Fethi Rabhi, Amin Beheshti, Asif Gill:
Editorial: Business transformation through AI-enabled technologies. - Igor Nesteruk:
General SIR model for visible and hidden epidemic dynamics. - James Horsley:
Mind the semantic gap: semantic efficiency in human computer interfaces. - Keshav Krishna:
Advancements in cache management: a review of machine learning innovations for enhanced performance and security. - Mini Han Wang, Jiazheng Cui, Simon Ming-Yuen Lee, Zhiyuan Lin, Peijin Zeng, Xinyue Li, Haoyang Liu, Yunxiao Liu, Yang Xu, Yapeng Wang, José Lopes Camilo Da Costa Alves, Guanghui Hou, Junbin Fang, Xiangrong Yu, Kelvin Kam Lung Chong, Yi Pan:
Applied machine learning in intelligent systems: knowledge graph-enhanced ophthalmic contrastive learning with "clinical profile" prompts. - Norah Othman Abanmy, Nadia Al-Ghreimil, Jawza F. Alsabhan, Heyam H. Al-Baity, Rana Aljadeed:
Evaluating the accuracy of ChatGPT in delivering patient instructions for medications: an exploratory case study. - Sharareh Shahidi Hamedani, Sarfraz Aslam, Shervin Shahidi Hamedani:
AI in business operations: driving urban growth and societal sustainability. - Ahmeed Suliman Farhan, Muhammad Khalid, Umar Manzoor:
XAI-MRI: an ensemble dual-modality approach for 3D brain tumor segmentation using magnetic resonance imaging. - Jonathan A. Tangsrivimol, Erfan Darzidehkalani, Hafeez Ul Hassan Virk, Zhen Wang, Jan Egger, Michelle Wang, Sean Hacking, Benjamin S. Glicksberg, Markus Strauss, Chayakrit Krittanawong:
Benefits, limits, and risks of ChatGPT in medicine. - Yuriy Dyachenko, Oleksandra Humenna, Oleg Soloviov, Inna Skarga-Bandurova, Nayden Nenkov:
LLM services in the management of social communications. - Vasiliki Bikia, Dionysios Adamopoulos, Marco Roffi, Georgios Rovas, Stéphane Noble, François Mach, Nikolaos Stergiopulos:
Testing an inverse modeling approach with gradient boosting regression for stroke volume estimation using patient thermodilution data. - Muhammad Syahriandi Adhantoro, Dedi Gunawan, Harun Joko Prayitno, Rahayu Febri Riyanti, Eko Purnomo, Adi Jufriansah:
Strategic technological innovation through ChatMu: transforming information accessibility in Muhammadiyah. - Sahika Betul Yayli, Kutay Kiliç, Salih Beyaz:
Deep learning in gonarthrosis classification: a comparative study of model architectures and single vs. multi-model methods. - A. M. Mutawa, Ayshah Alrumaih:
Determining the meter of classical Arabic poetry using deep learning: a performance analysis. - Pralhad Gavali, J. Saira Banu:
A novel approach to Indian bird species identification: employing visual-acoustic fusion techniques for improved classification accuracy. - Vincent Zibi Mohale, Ibidun Christiana Obagbuwa:
A systematic review on the integration of explainable artificial intelligence in intrusion detection systems to enhancing transparency and interpretability in cybersecurity. - Yukun Tao, Jinzheng Hou, Guangxin Zhou, Da Zhang:
Artificial intelligence applied to diabetes complications: a bibliometric analysis. - Zhirui Zhou, Shuting Xiang, Qingxin Xie:
How could fit between polychronicity and multitasking shape employees' self-leadership? The moderating role of AI-empowered task processing. - Brian Travis Rice, Stacy Rasmus, Robert Onders, Timothy Thomas, Gretchen Day, Jeremy Wood, Carla Britton, Tina Hernandez-Boussard, Vanessa Hiratsuka:
Community-engaged artificial intelligence: an upstream, participatory design, development, testing, validation, use and monitoring framework for artificial intelligence and machine learning models in the Alaska Tribal Health System. - Paolo Giudici, Lunshuai Wu:
Sustainable artificial intelligence in finance: impact of ESG factors. - Maria Chiara Caschera, Patrizia Grifoni, Francesca Cordella:
Editorial: Human-centered artificial intelligence in interaction processes. - Deepshikha Shrivastava, Prerna Goswami:
Internet of things driven hybrid neuro-fuzzy deep learning building energy management system for cost and schedule optimization. - Marco Piastra, Patrizia Catellani:
On the emergent capabilities of ChatGPT 4 to estimate personality traits. - Jean-Pierre R. Falet, Steven Nobile, Aliya Szpindel, Berardino Barile, Amar Kumar, Joshua Durso-Finley, Tal Arbel, Douglas L. Arnold:
The role of AI for MRI-analysis in multiple sclerosis - A brief overview. - Yingjian Yang, Jie Zheng, Peng Guo, Qi Gao, Yingwei Guo, Ziran Chen, Chengcheng Liu, Tianqi Wu, Zhanglei Ouyang, Huai Chen, Yan Kang:
Three-stage registration pipeline for dynamic lung field of chest X-ray images based on convolutional neural networks. - Jean-Christophe Bélisle-Pipon:
AI, universal basic income, and power: symbolic violence in the tech elite's narrative. - Haruna Jallow, Alieu Gibba, Ronald Waweru Mwangi, Herbert Imboga:
GDP prediction of The Gambia using generative adversarial networks. - Isabella Saccardi, Judith Masthoff:
Adapting emotional support in teams: productivity, emotional stability, and conscientiousness. - Maham Nayab, Asim Waris, Muhammad Jawad Khan, Dokhyl Alqahtani, Ahmed Imran, Syed Omer Gilani, Umer Hameed Shah:
Gaussian process latent variable models-ANN based method for automatic features selection and dimensionality reduction for control of EMG-driven systems. - Maede Ashofteh Barabadi, Xiaodan Zhu, Wai-Yip Chan, Amber L. Simpson, Richard K. G. Do:
Targeted generative data augmentation for automatic metastases detection from free-text radiology reports. - M. Balamurugan, Kamala Narayanan, N. Raghu, G. B. Arjun Kumar, V. N. Trupti:
Role of artificial intelligence in smart grid - a mini review. - Martin Berki, Vanesa Andicsova, Milos Oravec:
NLP-enhanced inflation measurement using BERT and web scraping. - Mahdi Maktabdar Oghaz, Lakshmi Babu Saheer, Kshipra Dhame, Gayathri Singaram:
Detection and classification of ChatGPT-generated content using deep transformer models. - Zhao Jinbo, Li Yufu, Mo Haitao:
Handling missing data of using the XGBoost-based multiple imputation by chained equations regression method. - Laura González-Flores, Jessica Rubiano-Moreno, Guillermo Sosa Gómez:
The relevance of lead prioritization: a B2B lead scoring model based on machine learning. - Vahan Babushkin, Haneen Alsuradi, Muhamed Osman Al-Khalil, Mohamad A. Eid:
Analyzing handwriting legibility through hand kinematics. - Saurav Verma, Ashwini Rao:
A short report on deep learning synergy for decentralized smart grid cybersecurity. - Dongyu Liu, Cora Ames, Shameer Khader, Franck Rapaport:
SciLinker: a large-scale text mining framework for mapping associations among biological entities. - Raghavendra S., S. K. Abhilash, Venu Madhav Nookala, Jayashree Shetty, Praveen Gurunath Bharathi:
MPAR-RCNN: a multi-task network for multiple person detection with attribute recognition. - Mini Han Wang, Xudong Jiang, Peijin Zeng, Xinyue Li, Kelvin Kam Lung Chong, Guanghui Hou, Xiaoxiao Fang, Yang Yu, Xiangrong Yu, Junbin Fang, Yi Pan:
Balancing accuracy and user satisfaction: the role of prompt engineering in AI-driven healthcare solutions. - Deborah M. Li, Shruti Parikh, Ana Costa:
A critical look into artificial intelligence and healthcare disparities. - Najla M. Aljehani, Fatima E. Al Nawees:
The current state, challenges, and future directions of artificial intelligence in healthcare in Saudi Arabia: systematic review. - Roberto Balestri:
Gender and content bias in Large Language Models: a case study on Google Gemini 2.0 Flash Experimental. - Norhan Khallaf, Osama Abd-El Rouf, Abeer D. Algarni, Mohy Hadhoud, Ahmed Kafafy:
Enhanced vehicle routing for medical waste management via hybrid deep reinforcement learning and optimization algorithms. - Niklas Bussmann, Paolo Giudici, Alessandra Tanda, Ellen Pei-Yi Yu:
Explainable machine learning to predict the cost of capital. - Denise E. Hilling, Imane Ihaddouchen, Stefan Buijsman, Reggie Townsend, Diederik Gommers, Michel E. van Genderen:
The imperative of diversity and equity for the adoption of responsible AI in healthcare. - Eduardo Cisternas Jiménez, Fang-Fang Yin:
Adaptive Neuro-Fuzzy Inference System guided objective function parameter optimization for inverse treatment planning. - Vasavi Sanikommu, Sai Pravallika Marripudi, Harini Reddy Yekkanti, Revanth Divi, R. Chandrakanth, P. Mahindra:
Edge computing for detection of ship and ship port from remote sensing images using YOLO. - Wenwen Cheng, Chen Yu, Xiaohui Liu:
Construction of a prediction and visualization system for cognitive impairment in elderly COPD patients based on self-assigning feature weights and residual evolution model. - Heather A. Noriega, Qizhao Wang, Daozhan Yu, Xiang Simon Wang:
Structural studies of Parvoviridae capsid assembly and evolution: implications for novel AAV vector design. - Gabriel Vargas-Monroy, Daissi-Bibiana Gonzalez-Roldan, Carlos Enrique Montenegro-Marín, Alejandro-Paolo Daza-Corredor, Daniel-David Leal-Lara:
Code generation system based on MDA and convolutional neural networks. - Anna Visibelli, Rebecca Finetti, Bianca Roncaglia, Paolo Poli, Ottavia Spiga, Annalisa Santucci:
Predicting therapy dropout in chronic pain management: a machine learning approach to cannabis treatment. - Jessica D. Workum, Davy van de Sande, Diederik Gommers, Michel E. van Genderen:
Bridging the gap: a practical step-by-step approach to warrant safe implementation of large language models in healthcare. - Othman A. Alrusaini:
Deep learning for steganalysis: evaluating model robustness against image transformations. - Boxiong Wei, Xiumei Zhang, Yuhong Shao, Xiuming Sun, Luzeng Chen:
Comparison of the accuracy of GPT-4 and resident physicians in differentiating benign and malignant thyroid nodules. - Chunyi Yan, Zexi Li, Yongzhou Liang, Shuran Shao, Fan Ma, Nanjun Zhang, Bowen Li, Chuan Wang, Kaiyu Zhou:
Assessing large language models as assistive tools in medical consultations for Kawasaki disease. - Kevin Godin-Dubois, Karine Miras, Anna V. Kononova:
AMaze: an intuitive benchmark generator for fast prototyping of generalizable agents. - Lesia I. Mochurad:
Approach for enhancing the accuracy of semantic segmentation of chest X-ray images by edge detection and deep learning integration. - A. R. S. Silva, Y. H. P. P. Priyadarshana:
Ontology-based prompt tuning for news article summarization. - Alexandros Bousdekis, Mina Foosherian, Mattheos Fikardos, Stefan Wellsandt, Katerina Lepenioti, Enrica Bosani, Gregoris Mentzas, Klaus-Dieter Thoben:
Augmented intelligence with voice assistance and automated machine learning in Industry 5.0. - Andrei V. Konstantinov, Boris V. Kozlov, Stanislav Kirpichenko, Lev V. Utkin, Vladimir Muliukha:
Dual feature-based and example-based explanation methods. - Hsin-Yueh Liang, Kai-Cheng Hsu, Shang-Yu Chien, Chen-Yu Yeh, Ting-Hsuan Sun, Meng-Hsuan Liu, Kee Koon Ng:
Deep learning analysis of exercise stress electrocardiography for identification of significant coronary artery disease. - Sepehr Ghazinoory, Fatemeh Parvin, Fatemeh Saghafi, Masoud Afshari-Mofrad, Nafiseh Ghazavi, Mehdi Fatemi:
Metaverse technology tree: a holistic view. - Shih-Fang Chang, Po-Yi Wu, Ming-Chang Tsai, Vincent S. Tseng, Chi-Chih Wang:
AI-assisted anatomical structure recognition and segmentation via mamba-transformer architecture in abdominal ultrasound images. - Maxime Gobin, Muriel Gosnat, Seindé Toure, Lina Faik, Joel Belafa, Antoine Villedieu de Torcy, Florence Armstrong:
From data extraction to analysis: a comparative study of ELISE capabilities in scientific literature. - Soumya Sara Koshy, L. Jani Anbarasi:
HMA-Net: a hybrid mixer framework with multihead attention for breast ultrasound image segmentation. - Rémy Decoupes, Claudia Cataldo, Luca Busani, Mathieu Roche, Maguelonne Teisseire:
Automating updates for scoping reviews on the environmental drivers of human and animal diseases: a comparative analysis of AI methods. - Samir Ghandour, Adriana A. Rodriguez Alvarez, Isabella F. Cieri, Shiv Patel, Mounika Boya, Rahul Chaudhary, Anna Poucey, Anahita Dua:
Using machine learning models to predict post-revascularization thrombosis in PAD. - Yoo Jung Oh, Muhammad Ehab Rasul, Emily McKinley, Christopher Calabrese:
From digital traces to public vaccination behaviors: leveraging large language models for big data classification. - Negar Elmisadr, Mohamed-Bachir Belaid, Anis Yazidi:
Stochastic and deterministic processes in Asymmetric Tsetlin Machine. - Adane Adugna, Desalegn Abebaw, Abtie Abebaw, Mohammed Jemal:
Deep learning architectures for influenza dynamics and treatment optimization: a comprehensive review. - Tobias Schraut, Anne Schützenberger, Tomás Arias-Vergara, Melda Kunduk, Matthias Echternach, Stephan Dürr, Julia Werz, Michael Döllinger:
Machine learning based assessment of hoarseness severity: a multi-sensor approach centered on high-speed videoendoscopy. - Hasan Beyari:
Assessing artificial intelligence's impact on e-customer loyalty in the Saudi Arabian market. - Melanie J. McGrath, Oliver Lack, James Tisch, Andreas Duenser:
Measuring trust in artificial intelligence: validation of an established scale and its short form. - Luis Jose Gonzalez-Gomez, Sofia Margarita Hernandez-Munoz, Abiel Borja, Fernando A. Arana-Salas, Jose Daniel Azofeifa, Julieta Noguez, Patricia Caratozzolo:
Dynamic taxonomy generation for future skills identification using a named entity recognition and relation extraction pipeline. - Nixson Okila, Andrew Katumba, Joyce Nakatumba-Nabende, Cosmas Mwikirize, Sudi Murindanyi, Jonathan Serugunda, Samuel Bugeza, Anthony Oriekot, Juliet Bossa, Eva Nabawanuka:
Deep learning for accurate B-line detection and localization in lung ultrasound imaging. - Souptik Barua, Channing J. Paller, Navkiran Randhawa, Arvind Rao:
Editorial: AI in digital oncology: imaging and wearable technology for cancer detection and management. - András Berzi, Ervin Berényi, Zita Képes, Barnabás Antal, Ábrahám Gergely Varga, Miklós Emri:
NLP-based removal of personally identifiable information from Hungarian electronic health records. - Peng Li, Jianhua Ding, Chia S. Lim:
VMDU-net: a dual encoder multi-scale fusion network for polyp segmentation with Vision Mamba and Cross-Shape Transformer integration. - Cristian Jimenez-Romero, Alper Yegenoglu, Christian Blum:
Multi-agent systems powered by large language models: applications in swarm intelligence. - Sebastian Seidel, Uwe M. Borghoff:
Deriving equivalent symbol-based decision models from feedforward neural networks. - Yu Du, Tong Niu, Rong Zhao:
Mixture of prompts learning for vision-language models. - Fabio Tamburini:
On automatic decipherment of lost ancient scripts relying on combinatorial optimisation and coupled simulated annealing. - Mirjam Bonanno, Davide Cardile, Piergiuseppe Liuzzi, Antonio Celesti, Giuseppe Micali, Francesco Corallo, Angelo Quartarone, Francesco Tomaiuolo, Rocco Salvatore Calabrò:
Can artificial intelligence improve the diagnosis and prognosis of disorders of consciousness? A scoping review. - Mohammad Nasir, Kaif Siddiqui, Samreen Ahmed:
Ethical-legal implications of AI-powered healthcare in critical perspective. - Giulio Sandini, Alessandra Sciutti, Pietro Morasso:
Mutual human-robot understanding for a robot-enhanced society: the crucial development of shared embodied cognition. - Sowmya V. L, A. Bharathi Malakreddy, Santhi Natarajan, N. Prathik, Rajesh I. S.:
Spectral Entropic Radiomics Feature Extraction (SERFE): an adaptive approach for glioblastoma disease classification. - Sandeep Wankhade, Manoj Sahni, Ernesto León-Castro, Maricruz Olazabal-Lugo:
Navigating AI ethics: ANN and ANFIS for transparent and accountable project evaluation amidst contesting AI practices and technologies. - Falk Maoro, Michaela Geierhos:
Contestable AI for criminal intelligence analysis: improving decision-making through semantic modeling and human oversight. - Waqar M. Naqvi, Rohini Ganjoo, Michael Rowe, Aishwarya A. Pashine, Gaurav V. Mishra:
Critical thinking in the age of generative AI: implications for health sciences education. - James Andrew Henry:
Population health management through human phenotype ontology with policy for ecosystem improvement. - Jiapeng Yu, Yuqian Wu, Yajing Zhan, Wenhao Guo, Zhou Xu, Raymond Lee:
Co-Learning: code learning for multi-agent reinforcement collaborative framework with conversational natural language interfaces. - Brian M. Ross:
Leveraging psychedelic neuroscience to boost human creativity using artificial intelligence. - Huajun Ma, Qingnan You, Zhiyuan Jin, Xinglin Liu, Zimeng Chen:
Exploring the role of generative AI in international students' sociocultural adaptation: a cognitive-affective model. - Elhoucine Elfatimi, Yassir Lekbach, Swayam Prakash, Lbachir BenMohamed:
Artificial intelligence and machine learning in the development of vaccines and immunotherapeutics - yesterday, today, and tomorrow. - Chris Bauer, Long Tran Duc Dang, Twan van den Beucken, Johannes Schuchhardt, Ralf Herwig:
Systematic analysis of hepatotoxicity: combining literature mining and AI language models. - Marco Billi, Julio Labraña:
Is AI a functional equivalent to expertise in organizations and decision-making? Opportunities and pitfalls for AI in the context of just transitions. - Shikha Chaganti, Vivek Singh, Alasdair Edward Gent, Rishikesan Kamaleswaran, Ali Kamen:
Evaluating the impact of common clinical confounders on performance of deep-learning-based sepsis risk assessment. - Uttam U. Deshpande, Goh Kah Ong Michael, Sufola Das Chagas Silva Araujo, Vaidehi Deshpande, Rudragoud Patil, Ramchandra Alias Ameet Chate, Varun R. Tandur, Supreet S. Goudar, Shreya Ingale, Vaishnavi Charantimath:
Computer-vision based automatic rider helmet violation detection and vehicle identification in Indian smart city scenarios using NVIDIA TAO toolkit and YOLOv8. - Teona Gelashvili, Peeter Vihma, Ingrid Pappel:
Navigating the AI revolution: challenges and opportunities for integrating emerging technologies into knowledge management systems. Systematic literature review. - Dan Lloyd:
Epistemic responsibility: toward a community standard for human-AI collaborations. - Samuel Santana de Almeida, Raphael Silva Fontes, Luca Pareja C. F. Alves, Methanias Colaço Júnior, Gleyson José Pinheiro Caldeira Silva, Lyane Ramalho Cortez, Antonio Higor Freire de Morais, Guilherme Medeiros Machado, Hugo Gonçalo Oliveira, Aliete Cunha-Oliveira, João Paulo Queiroz dos Santos, Ricardo Alexsandro de Medeiros Valentim:
Artificial intelligence in healthcare text processing: a review applied to named entity recognition. - Jia Song, Chunqiu Li, Wirapong Chansanam:
Construction of medical scientific data repositories in China: analysis of survey and recommendations. - Tsedeke Temesgen Habe, Keijo Haataja, Pekka J. Toivanen:
Precision enhancement in wireless capsule endoscopy: a novel transformer-based approach for real-time video object detection. - Tai Su, Peng Zhang, Bingyin Zhang, Zihao Liu, Zexing Xie, Xiaomei Li, Jixiang Ma, Tao Xin:
Risk prediction of stroke-associated pneumonia in acute ischemic stroke with atrial fibrillation using machine learning models. - Jiahao Wu, Hengxu You, Jing Du:
AI generations: from AI 1.0 to AI 4.0. - Ali Alkhathlan, Faris Alahmadi, Faris A. Kateb, Hend Al-Khalifa:
Constructing and evaluating ArabicStanceX: a social media dataset for Arabic stance detection. - Irem Karaman, Burhan Sebin:
From data-driven cities to data-driven tumors: dynamic digital twins for adaptive oncology. - Jasleen Kaur, Zahid A. Butt:
AI-driven epidemic intelligence: the future of outbreak detection and response. - Ryozo Masukawa, Sanggeon Yun, SungHeon Evan Jeong, Wenjun Huang, Yang Ni, Ian Bryant, Nathaniel D. Bastian, Mohsen Imani:
PACKETCLIP: multi-modal embedding of network traffic and language for cybersecurity reasoning. - A. S. Elmotelb, F. Fayroz Sherif, A. S. Abohamama, Mahmoud Fakhr, Amr M. Abdelatif:
A novel deep learning technique for multi classify Alzheimer disease: hyperparameter optimization technique. - Y. H. P. P. Priyadarshana, Zilu Liang, Ian Piumarta:
ExDoRA: enhancing the transferability of large language models for depression detection using free-text explanations. - Raman Kumar, Sarvesh Garg, Rupinder Kaur, M. G. M. Johar, Sehijpal Singh, Soumya V. Menon, Pulkit Kumar, Ali Mohammed Hadi, Shams Abbass Hasson, Jasmina Lozanovic:
A comprehensive review of machine learning for heart disease prediction: challenges, trends, ethical considerations, and future directions. - Ramlah Sara Rehman, Ewald Meier, Mathias Ibsen, Christian Rathgeb, Robert Nichols, Christoph Busch:
Training humans for synthetic face image detection. - Birger Moëll, Fabian Farestam, Jonas Beskow:
Swedish Medical LLM Benchmark: development and evaluation of a framework for assessing large language models in the Swedish medical domain. - Inhye Jin, Jonathan A. Tangsrivimol, Erfan Darzi, Hafeez Ul Hassan Virk, Zhen Wang, Jan Egger, Sean Hacking, Benjamin S. Glicksberg, Markus Strauss, Chayakrit Krittanawong:
DeepSeek vs. ChatGPT: prospects and challenges. - Ryota Nonomura, Hiroki Mori:
Who speaks next? Multi-party AI discussion leveraging the systematics of turn-taking in Murder Mystery games. - Ibrahim Nafisah, Nermine Mahmoud, Ahmed A. Ewees, Mohamed G. Khattap, Abdelghani Dahou, Safar M. Alghamdi, Ibrahim Ahmed Fares, Mohammed Azmi Al-Betar, Mohamed Abd Elaziz:
Deep learning-based feature selection for detection of autism spectrum disorder. - Nasirul Mumenin, Maisha Mumtaz Rahman, Mohammad Abu Yousuf, Farzan Majeed Noori, Md. Zia Uddin:
Early diagnosis of autism across developmental stages through scalable and interpretable ensemble model. - Keita Suzuki, Nobukatsu Hojo, Kazutoshi Shinoda, Saki Mizuno, Ryo Masumura:
Data stream-pairwise bottleneck transformer for engagement estimation from video conversation. - Shikang Hou, Song Sun, Tao Yin, Zhibin Zhang, Meng Yan:
AMDCnet: attention-gate-based multi-scale decomposition and collaboration network for long-term time series forecasting. - Xuanqiao Lin, Lifang Bai, Xiaohuan Zhao, Lei Cai, Jin Yang:
Online platform vs. doctors: a comparative exploration of congenital cataract patient education from virtual to reality. - Shu Pi, Xin Wang, Jiatian Pi:
Research on the robustness of the open-world test-time training model. - Kexin Zhang, Cisheng Wu, Manman Ge, Teng Liu:
AI-enabled workforce integration: blended human resource contribution rate in Chinese companies. - Intissar Dhrari Hajsalem, Yassine Ben Ayed:
Detecting early gastrointestinal polyps in histology and endoscopy images using deep learning. - Ayat S. Hammad, Ali Tajammul, Ismail Dergaa, Maha Al-Asmakh:
Machine learning applications in the analysis of sedentary behavior and associated health risks. - Olha Sobetska:
Irrationality in humans and creativity in AI. - David Antony Selby, Rashika Jakhmola, Maximilian Sprang, Gerrit Großmann, Hind Raki, Niloofar Maani, Daria Pavliuk, Jan Ewald, Sebastian J. Vollmer:
Visible neural networks for multi-omics integration: a critical review. - Michael Edidem, Bill Xu, Ruopu Li, Di Wu, Banafsheh Rekabdar, Guangxing Wang:
Deep learning classification of drainage crossings based on high-resolution DEM-derived geomorphological information. - Tato Khundadze, Willi Semmler:
European sovereign debt control through reinforcement learning. - Eleonora Lima, Tiffany Morisseau:
Can chatbots teach us how to behave? Examining assumptions about user interactions with AI assistants and their social implications. - Muluken Hussen Asebel, Shimelis G. Assefa, Mesfin Abebe Haile:
Exploring the evolution and future prospects of Amharic to English machine translation: a systematic review. - Vikram Kulkarni, Sarat Kumar Sahoo, Bhushankumar Nemade, Suresh Kallam, Chakkrit Termritthikun:
Editorial: Exploring the power of AI and ML in smart grids: advancements, applications, and challenges. - Florian Peter Busch, Matej Zecevic, Kristian Kersting, Devendra Singh Dhami:
Elucidating linear programs by neural encodings. - Sridhar Jonnala, Nisha Mary Thomas, Sarthak Mishra:
Navigating ethical minefields: a multi-stakeholder approach to assessing interconnected risks in generative AI using grey DEMATEL. - Samia Dardouri:
An efficient method for early Alzheimer's disease detection based on MRI images using deep convolutional neural networks. - Diala Haykal, Mohamad Goldust, Hugues Cartier, Patrick Treacy:
AI in humanitarian healthcare: a game changer for crisis response. - Tongtong Jin, Ayitijiang Halili:
Predicting the risk of depression in older adults with disability using machine learning: an analysis based on CHARLS data. - Anas Alkhofi:
Man vs. machine: can AI outperform ESL student translations? - Juan Schrader, Lloy Pinedo, Franz Vargas, Karla Martell, José Seijas-Díaz, Roger Rengifo-Amasifen, Rosa Cueto-Orbe, Cinthya Torres-Silva:
Application of artificial intelligence techniques for the profiling of visitors to tourist destinations. - Neema Nicodemus Lyimo, Kadeghe Goodluck Fue, Silvia Francis Materu, Ndimile Charles Kilatu, Joseph P. Telemala:
Assessing the potential for application of machine learning in predicting weather-sensitive waterborne diseases in selected districts of Tanzania. - Alexandre Hudon:
A hybrid fuzzy logic-Random Forest model to predict psychiatric treatment order outcomes: an interpretable tool for legal decision support. - Birger Moëll, Fredrik Sand Aronsson:
Journaling with large language models: a novel UX paradigm for AI-driven personal health management. - Andrea Polonioli:
Moving LLM evaluation forward: lessons from human judgment research. - Antonia Terán-Bustamante, Antonieta Martínez-Velasco, Sandra Nelly Leyva-Hernández:
Management of scientific and ancestral knowledge: a decision-making model in mezcal industry in Mexico. - G. Sumathi, M. Uma Devi:
High-resolution image inpainting using a probabilistic framework for diverse images with large arbitrary masks. - Tongtong Jin, Ayitijiang Halili:
Correction: Predicting the risk of depression in older adults with disability using machine learning: an analysis based on CHARLS data. - Shiyue Chen, Yan Lin:
A multidimensional comparison of ChatGPT, Google Translate, and DeepL in Chinese tourism texts translation: fidelity, fluency, cultural sensitivity, and persuasiveness. - Ting Wang, Yingang Wen, Zhibiao Wang, Xi Li:
Three-dimensional visualization and navigation for micro-noninvasive uterine fibroid surgery based on MRI and ultrasound image fusion. - Heily Consepción Portocarrero Ramos, Omer Cruz Caro, Einstein Sánchez Bardales, Lenin Quiñones Huatangari, Jonathan Alberto Campos Trigoso, Jorge Luis Maicelo Guevara, River Chavez Santos:
Artificial intelligence skills and their impact on the employability of university graduates. - Christine Malin, Jürgen Fleiß, Stefan Thalmann:
Stakeholder-specific adoption of AI in HRM: workers' representatives' perspective on concerns, requirements, and measures. - Andrés Ilcic, Miguel Fuentes, Diego Lawler:
Artificial intelligence, complexity, and systemic resilience in global governance. - Shubham Joshi, Millie Pant, Arnav Malhotra, Kusum Deep, Václav Snásel:
A nnU-Net-based automatic segmentation of FCD type II lesions in 3D FLAIR MRI images. - Zhenkai Qin, Baozhong Wei, Yujia Zhai, Ziqian Lin, Xiaochuan Yu, Jingxuan Jiang:
CMDMamba: dual-layer Mamba architecture with dual convolutional feed-forward networks for efficient financial time series forecasting. - Chi-Yuan Lee, Eva Anderl:
Does business news sentiment matter in the energy stock market? Adopting sentiment analysis for short-term stock market prediction in the energy industry. - Yuxin Zhang, Qing Han:
Enhancing pre-trained language model by answering natural questions for event extraction. - Teerachai Amnuaylojaroen:
Advancements and challenges of artificial intelligence in climate modeling for sustainable urban planning. - Jeehaan Algaraady, Mohammad Mahyoob:
Exploring ChatGPT's potential for augmenting post-editing in machine translation across multiple domains: challenges and opportunities. - Zeinab Nezami, Syed Ali Raza Zaidi, Maryam Hafeez, Jie Xu, Karim Djemame:
Toward standardization of GenAI-driven agentic architectures for radio access networks. - Teona Gelashvili-Luik, Peeter Vihma, Ingrid Pappel:
Correction: Navigating the AI revolution: challenges and opportunities for integrating emerging technologies into knowledge management systems. Systematic literature review. - Mayra Leticia Rodríguez-Carrillo, Luis Asunción Pérez Dominguez, Roberto Romero-López, David Luviano Cruz, Ernesto León-Castro:
A systematic literature review on the use of multicriteria decision making methods for small and medium-sized enterprises innovation assessment. - José Manuel Brotons-Martínez, José María Cámara-Zapata:
The evaluation of performance for agroecological greenhouse tomato strategies by the CRITIC-OWA model. - Pingdi Zhou, Jiajun Cheng:
Stylistic variation across English translations of Chinese science fiction: Ken Liu versus ChatGPT. - Min Guo, Yu Zhang, Xinxin Gu, Xuhui Liu, Fei Peng, Zongjun Zhang, Mei Jing, Yingxia Fu:
A comparative study of bone density in elderly people measured with AI and QCT. - Alexander Romanishyn, Olena Malytska, Vitaliy Goncharuk:
AI-driven disinformation: policy recommendations for democratic resilience. - Hubert Makaruk, Jared M. Porter, E. Kipling Webster, Beata Makaruk, Pawel Tomaszewski, Marta Nogal, Daniel Gawlowski, Lukasz Sobanski, Bartosz Molik, Jerzy Sadowski:
Artificial intelligence-enhanced assessment of fundamental motor skills: validity and reliability of the FUS test for jumping rope performance. - Alexandre Bailly, Antoine Saubin, Gabriel Kocevar, Jonathan Bodin:
Divide and summarize: improve SLM text summarization. - Pavel Prudkov:
On the construction of artificial general intelligence based on the correspondence between goals and means. - Rasmus Gahrn-Andersen:
Integrating 4E cognition with science and technology studies: a framework for understanding AI applications. - Alexandra Lorena López-Naranjo, Mariana Isabel Puente-Riofrio, Verónica Adriana Carrasco-Salazar, Juan Diego Erazo-Rodríguez, Pamela Alexandra Buñay-Guisñan:
Artificial intelligence in the tourism business: a systematic review. - Artur Barsumyan, Raman Shyla, Anton Saukkonen, Christian Soost, Jan Adriaan Graw, Rene Burchard:
Quantifying training response in cycling based on cardiovascular drift using machine learning. - Nataliia Melnykova, Bohdan Pavlyk, Oleh Basystiuk, Stepan Skopivskyi:
Analysis and correcting pronunciation disorders based on artificial intelligence approach. - Gil Cohen, Avishay Aiche:
Predicting the Bitcoin's price using AI. - Weijie Wu, Zheng Zhang, Shuailei Wang, Ru Xin, Dong Yang, Weifeng Yao, Ziqing Hei, Chaojin Chen, Gangjian Luo:
Novel machine learning models for the prediction of acute respiratory distress syndrome after liver transplantation. - Birger Moëll, Fredrik Sand Aronsson, Sanian Akbar:
Medical reasoning in LLMs: an in-depth analysis of DeepSeek R1. - Yuriy A. Vasilev, Anastasia Pamova, Tatiana Bobrovskaya, Anton V. Vladzimirskyy, Olga V. Omelyanskaya, Elena Astapenko, Artem Kruchinkin, Vladimir P. Novik, Kirill Arzamasov:
Outliers and anomalies in training and testing datasets for AI-powered morphometry - evidence from CT scans of the spleen. - Mitra Madanchian, Hamed Taherdoost:
Ethical theories, governance models, and strategic frameworks for responsible AI adoption and organizational success. - Devesh Jawla, John D. Kelleher:
Layer wise Scaled Gaussian Priors for Markov Chain Monte Carlo Sampled deep Bayesian neural networks. - Wei Li, Li Cao, He Deng:
FLA-UNet: feature-location attention U-Net for foveal avascular zone segmentation in OCTA images. - Dalia Alammari, Elaf Alamari, Rawan Alamri, Raneem Alharbi, Jumana Felimban, Jana Aljohani:
Assessing medical students' attitudes, performance, and usage of ChatGPT in Jeddah, Saudi Arabia. - Hariom Dhungana:
Biomimicry as a decision-making methodology in condition monitoring. - Chirag Goel, Anita X, Jani Anbarasi L:
Federated knee injury diagnosis using few shot learning. - Priyanka Shrivastava:
Understanding acceptance and resistance toward generative AI technologies: a multi-theoretical framework integrating functional, risk, and sociolegal factors. - Guoyao Shen, Yancheng Zhu, Mengyu Li, Ryan McNaughton, Hernán Jara, Sean B. Andersson, Chad W. Farris, Stephan W. Anderson, Xin Zhang:
Regularization by neural style transfer for MRI field-transfer reconstruction with limited data. - Carl Errol Seran, Myles Joshua Toledo Tan, Hezerul Abdul Karim, Nouar AlDahoul:
A conceptual exploration of generative AI-induced cognitive dissonance and its emergence in university-level academic writing. - Petar Radanliev, Omar Santos, Uchenna Daniel Ani:
Generative AI cybersecurity and resilience. - Houmem Slimi, Imen Cherif, Sabeur Abid, Mounir Sayadi:
Biologically inspired hybrid model for Alzheimer's disease classification using structural MRI in the ADNI dataset. - Pauldy C. J. Otermans, Stavros Demetriadis, Debbie Richards:
Editorial: The role of conversational AI in higher education. - Zhaosheng Jin, Ramon Abola, Vincent Bargnes, Alexandra Tsivitis, Sadiq Rahman, Jonathon Schwartz, Sergio D. Bergese, Joy E. Schabel:
The utility of generative artificial intelligence Chatbot (ChatGPT) in generating teaching and learning material for anesthesiology residents. - Dmytro Chumachenko, Jasleen Kaur, Jake Y. Chen:
Editorial: Outbreak oracles: how AI's journey through COVID-19 shapes future epidemic strategy. - Correction: Stylistic variation across English translations of Chinese science fiction: Ken Liu versus ChatGPT.
- Mongi Ben Ameur, Jalel Chebil, Mohamed Hadi Habaebi, Jamel Bel Hadj Tahar:
Machine learning for improved path loss prediction in urban vehicle-to-infrastructure communication systems. - Suryanarayanan Balakrishnan, Charat Thongprayoon, Wannasit Wathanavasin, Jing Miao, Michael A. Mao, Iasmina M. Craici, Wisit Cheungpasitporn:
Evaluating artificial intelligence bias in nephrology: the role of diversity, equity, and inclusion in AI-driven decision-making and ethical regulation. - Apostolos Mavridis, Stergios Tegos, Christos Anastasiou, Maria Papoutsoglou, Georgios Meditskos:
Large language models for intelligent RDF knowledge graph construction: results from medical ontology mapping. - Mimosette Makem, Levente Tamas, Lucian Busoniu:
A reliable approach for identifying acute lymphoblastic leukemia in microscopic imaging. - Zhina Mohamadi, Ahmad Shafizadeh, Yasaman Aliyan, Seyedeh Fatemeh Shayesteh, Parsa Goudarzi, Alireza Khodabandeh, Amirali Vaghari, Helma Ashrafi, Omid Bahrami, Armin Zarinkhat, Yalda Khodabandeh, Kimia Pouyan:
The application of random forest-based models in prognostication of gastrointestinal tract malignancies: a systematic review. - Israel Edem Agbehadji, Ibidun Christiana Obagbuwa:
A hybrid long short-term memory with generalized additive model and post-hoc explainable artificial intelligence with causal inference for air pollutants prediction in Kimberley, South Africa. - Tsehayu Gizachew Yirga, Hailu Gizachew Yirga, Eshetie Gizachew Addisu:
Cryptographic key generation using deep learning with biometric face and finger vein data. - Aqsa Rahim, Sushmit Dhar, Fuqing Yuan, Javad Barabady:
A fuzzy system for detection of road slipperiness in Arctic snowy conditions using LiDAR. - Yi Xiang, U. Rajendra Acharya, Quan Le, Jen Hong Tan, Chiaw-Ling Chng:
Thyroid nodule segmentation in ultrasound images using transformer models with masked autoencoder pre-training. - Ajimon George, Maria Susan Mathew:
AI-powered creative stimulus: the ascent of virtual virtuoso entrepreneurship. - Agate Jarmakovica:
Machine learning-based strategies for improving healthcare data quality: an evaluation of accuracy, completeness, and reusability.
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