Frontiers in Artificial Intelligence | Medicine and Public Health

Original Research

Published on 17 Apr 2026

Enhancing segmentation fairness through curriculum learning and progressive loss: a centralized and federated perspective on radiograph analysis

in Medicine and Public Health

Ehsan E. Alam
Nickolas Littlefield
Arash Shaban-Nejad
Hamidreza Moradi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1793305

Editorial

Published on 17 Apr 2026

Editorial: Computational intelligence for multimodal biomedical data fusion

in Medicine and Public Health

Moolchand Sharma
Umesh Gupta
Oana Geman

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1828869

Original Research

Accepted on 16 Apr 2026

An Automated Framework to classify skin lesions using Multi-Head Self Attention Layer based Vision Transformers

in Medicine and Public Health

Sahil Faizal
Charu Anant Rajput
Manas Ranjan Prusty

Frontiers in Artificial Intelligence

Review

Published on 16 Apr 2026

A structured framework for effective and responsible generative artificial intelligence chatbot prompt engineering throughout the scientific process: a comprehensive guide for the health and medical researcher

in Medicine and Public Health

Jeremy Y. Ng

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1745928

252 views

Original Research

Published on 16 Apr 2026

MedChat: a fully offline multimodal AI system for privacy-preserving clinical anamnesis

in Medicine and Public Health

Jan Benedikt Ruhland
Doguhan Bahcivan
Jan-Peter Sowa
Ali Canbay
Dominik Heider

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1809142

128 views

Perspective

Published on 15 Apr 2026

Legal and ethical reflections on the use of artificial intelligence in the diagnosis and treatment of cancer: who assumes responsibility?

in Medicine and Public Health

Virgiliu-Mihail Prunoiu
Ovidiu Juverdeanu
Codruta Cosma
Simion Laurentiu
Victor Strâmbu
Adrian Radu Petru
Mihai Stana
Mircea-Nicolae Brătucu

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1812408

118 views

Mini Review

Published on 15 Apr 2026

Applications of artificial intelligence in postoperative surveillance and management of esophageal squamous cell carcinoma

in Medicine and Public Health

Kexun Li
Zilong Qian
Jie Mao
Simiao Lu
Jianzhe Zhang
Yongtao Han
Xuefeng Leng

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1806691

Original Research

Published on 14 Apr 2026

A data-driven priority assessment and deployment framework for medical equipment maintenance in a tertiary hospital

in Medicine and Public Health

Chenjian Ye
Sunzhong Lin
Li Yanjun
Pengcheng Zhou

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1791935

113 views

Original Research

Published on 14 Apr 2026

Symmetry-guided explainable deep learning for colon cancer diagnosis: model benchmarking, cross-validation, statistical analysis, and explainability via ablation studies

in Medicine and Public Health

Anvaya Solanki
Dewansh Gopani
Monika Mangla
Nonita Sharma
Mu’azu Jibrin Musa
R. S. M. Lakshmi Patibandla

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1762636

138 views

Original Research

Accepted on 13 Apr 2026

Explaining Hidden Mechanisms: A Generative Model for Causal Graphs with Nonlinear Latent Factors

in Medicine and Public Health

Satoru Miyano
Koji Maruhashi
Heewon Park
Rui Yamaguchi

Frontiers in Artificial Intelligence

Original Research

Published on 13 Apr 2026

Artificial intelligence for early endometrial cancer diagnosis using multimodal clinical data: integrating deep learning, explainability, and data privacy

in Medicine and Public Health

Sital Dash
Kailas Patil
Arjun Bali
Ishwari Rohit Raskar
Yashwant Dongre
Amol Bhosle
Vishal Meshram

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1787508

118 views

Original Research

Published on 13 Apr 2026

A quantum–classical dual-track deep learning network for explainable Parkinson’s disease classification

in Medicine and Public Health

S. Alden Jenish
Arushi Pethkar
R. Karthik
K. Suganthi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1807209

145 views

Original Research

Published on 13 Apr 2026

Unsupervised and explainable machine learning solutions for last-minute cancelations in pediatric ambulatory and day surgeries in Italy

in Medicine and Public Health

Marco Cascella
Cosimo Guerra
Rosario De Feo
Riccardo Tarquini
Elisa Francia
Ilaria Mascilini
Cecilia M. Pizzo
Angela Galeotti
Martina Caputo
Roberto Pedone

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1743396

114 views

Original Research

Published on 13 Apr 2026

Fine-tuned GPT-based foundation models effectively reconstruct bacterial transcriptional regulatory networks from literature

in Medicine and Public Health

José Romero-Vilchis
Maximiliano Barajas-Sánchez
Karyme-Ivette Azpeitia-García
Ali-Berenice Posada-Reyes
Julio Collado-Vides
Carlos-Francisco Méndez-Cruz

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1788196

159 views

Review

Published on 13 Apr 2026

From microscopy to antimicrobial decisions: a clinically grounded roadmap for critical care infectious diseases

in Medicine and Public Health

Hui-Ling Qu
Jia-Nan Li
Yang Gao
Xi-Meng Xu
Xiao-Bin Zhang
Shi-Da Yang

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1807400

110 views

Original Research

Published on 13 Apr 2026

Attention-aided hybrid transformer network for oral squamous cell carcinoma classification using histopathology images

in Medicine and Public Health

Meena Jagathesh
Sathiya Narayanan

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1751520

Original Research

Accepted on 10 Apr 2026

Evaluating AI Adoption Challenges in Healthcare Using a Multi-Criteria Decision-Making Approach: Implications for Predictive Risk Analytics

in Medicine and Public Health

Pulidindi Venugopal
Sunil Kumar
Chand Prakash
Pratibha Garg
Neha Gupta

Frontiers in Artificial Intelligence

121 views

Original Research

Accepted on 10 Apr 2026

Prediction of infection in the emergency department – a Machine Learning model

in Medicine and Public Health

Sara Nørgaard Søgaard
Helene Skjøt-Arkil
Christian Backer Mogensen
Flemming Schønning Rosenvinge
Thomas Kronborg

Frontiers in Artificial Intelligence

Original Research

Accepted on 10 Apr 2026

Momentum Aggregation Strategy with Adaptive Step-size Adjustment Based on Client Bias

in Medicine and Public Health

Zeyang Wang
Zi Ye
Hai Huang

Frontiers in Artificial Intelligence

Original Research

Accepted on 10 Apr 2026

MCEEGNet: A Multi-Cue EEG Network for Quantitative Assessment of Depression Using Emotional Stimuli-Induced EEG Signals

in Medicine and Public Health

Xinmin Ding
Xingyu Chen
Minpeng Xu
Yuanmin Zhang
Hongli Chang

Frontiers in Artificial Intelligence

Original Research

Accepted on 10 Apr 2026

An Explainable Graph Retrieval Augmented Generation Framework for Personalized Nutrition Recommendation

in Medicine and Public Health

Varrsan Dindukurthi
Dhruv Jain
Anubhava Tripathi
Jagan Mohan Obbineni
Ilanthenral Kandasamy

Frontiers in Artificial Intelligence

Original Research

Accepted on 10 Apr 2026

Decoding High-Order Clinical Correlations: A Knowledge-Driven Large Language Model (LLM) Framework for Specialized Medical Decision-Making

in Medicine and Public Health

Qian Li
Yongxin Li
Chao Ye
Zhang Kaihua
Jing Bai
Xinbo Liu
Zhantao Li
Xuanyu Meng
Xianjun Min
Jin Guo

Frontiers in Artificial Intelligence

Original Research

Published on 10 Apr 2026

Auditing fairness in clinical AI systems using provenance-based simulation: a comparative and regulatory perspective

in Medicine and Public Health

Fidelis Alu
Sunkanmi Oluwadare
Nnennaya Ngwanma Halliday
Uchenna Emmanuel Agwunobi

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1756023

259 views

Original Research

Published on 10 Apr 2026

Machine learning for multiple sclerosis classification and disability prediction using clinical and MRI data

in Medicine and Public Health

Paola Valsasina
Loredana Storelli
Nicolò Tedone
Patrizia Pantano
Claudia Piervincenzi
Silvia Tommasin
Antonio Gallo
Manuela Altieri
Gianpaolo Maggi
Nicola De Stefano

Frontiers in Artificial Intelligence

doi 10.3389/frai.2026.1792870

186 views

606 articles

articles

Enhancing segmentation fairness through curriculum learning and progressive loss: a centralized and federated perspective on radiograph analysis

Editorial: Computational intelligence for multimodal biomedical data fusion

An Automated Framework to classify skin lesions using Multi-Head Self Attention Layer based Vision Transformers

A structured framework for effective and responsible generative artificial intelligence chatbot prompt engineering throughout the scientific process: a comprehensive guide for the health and medical researcher

MedChat: a fully offline multimodal AI system for privacy-preserving clinical anamnesis

Legal and ethical reflections on the use of artificial intelligence in the diagnosis and treatment of cancer: who assumes responsibility?

Applications of artificial intelligence in postoperative surveillance and management of esophageal squamous cell carcinoma

A data-driven priority assessment and deployment framework for medical equipment maintenance in a tertiary hospital

Symmetry-guided explainable deep learning for colon cancer diagnosis: model benchmarking, cross-validation, statistical analysis, and explainability via ablation studies

Explaining Hidden Mechanisms: A Generative Model for Causal Graphs with Nonlinear Latent Factors

Artificial intelligence for early endometrial cancer diagnosis using multimodal clinical data: integrating deep learning, explainability, and data privacy

A quantum–classical dual-track deep learning network for explainable Parkinson’s disease classification

Unsupervised and explainable machine learning solutions for last-minute cancelations in pediatric ambulatory and day surgeries in Italy

Fine-tuned GPT-based foundation models effectively reconstruct bacterial transcriptional regulatory networks from literature

From microscopy to antimicrobial decisions: a clinically grounded roadmap for critical care infectious diseases

Attention-aided hybrid transformer network for oral squamous cell carcinoma classification using histopathology images

Evaluating AI Adoption Challenges in Healthcare Using a Multi-Criteria Decision-Making Approach: Implications for Predictive Risk Analytics

Prediction of infection in the emergency department – a Machine Learning model

Momentum Aggregation Strategy with Adaptive Step-size Adjustment Based on Client Bias

MCEEGNet: A Multi-Cue EEG Network for Quantitative Assessment of Depression Using Emotional Stimuli-Induced EEG Signals

An Explainable Graph Retrieval Augmented Generation Framework for Personalized Nutrition Recommendation

Decoding High-Order Clinical Correlations: A Knowledge-Driven Large Language Model (LLM) Framework for Specialized Medical Decision-Making

Auditing fairness in clinical AI systems using provenance-based simulation: a comparative and regulatory perspective

Machine learning for multiple sclerosis classification and disability prediction using clinical and MRI data