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Frontiers 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.

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