Frontiers in Artificial Intelligence | Medicine and Public Health

Original Research

Published on 10 Dec 2025

Exploring the use and perceived impact of artificial intelligence in medical internship: a cross-sectional study of Palestinian doctors

in Medicine and Public Health

Abdallah Qawasmeh
Salahaldeen Deeb
Alhareth M. Amro
Khaled Alhashlamon
Ibrahim Althaher
Nour Yaser Mohammad Shadeed
Khadija Mohammad
Farid K. Abu Shama

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1738782

1,236 views

Original Research

Published on 09 Dec 2025

AI for evidence-based treatment recommendation in oncology: a blinded evaluation of large language models and agentic workflows

in Medicine and Public Health

Guannan Zhai
Merav Bar
Andrew J. Cowan
Samuel Rubinstein
Qian Shi
Ningjie Zhang
En Xie
Will Ma

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1683322

829 views

Systematic Review

Published on 09 Dec 2025

Multimodal observable cues in mood, anxiety, and borderline personality disorders: a review of reviews to inform explainable AI in mental health

in Medicine and Public Health

Grega Močnik
Ana Rehberger
Žan Smogavc
Izidor Mlakar
Urška Smrke
Sara Močnik

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1696448

738 views

Original Research

Published on 09 Dec 2025

Machine learning techniques for improved prediction of cardiovascular diseases using integrated healthcare data

in Medicine and Public Health

Abdulgani Kahraman

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1694450

991 views

Brief Research Report

Published on 09 Dec 2025

Adaptation of convolutional neural networks for real-time abdominal ultrasound interpretation

in Medicine and Public Health

Austin J. Ruiz
Sofía I. Hernández Torres
Eric J. Snider

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1718503

563 views

Review

Accepted on 08 Dec 2025

Multimodal Graph Neural Networks in Healthcare: A Review of Fusion Strategies Across Biomedical Domains

in Medicine and Public Health

MARIA VAIDA
Ziyuan Huang

Frontiers in Artificial Intelligence

467 views

Mini Review

Accepted on 08 Dec 2025

Advancing Precision Medicine with Multi-Modal AI: Clinical Validation Across Genomics, Imaging, and EHR Data

in Medicine and Public Health

Shahper Nazeer Khan
DANISHUDDIN NAN
Mohd Wajid Ali Khan
Luca Guarnera
Syed Fauzan Akhtar

Frontiers in Artificial Intelligence

366 views

Original Research

Accepted on 08 Dec 2025

Rectal Cancer Segmentation via HHF-SAM: A Hierarchical Hypercolumn-Guided Fusion Segment Anything Model

in Medicine and Public Health

Wang Ye
Yang Ying
Wu Xiaohong
Feng Zhoushan
Wang Congcong

Frontiers in Artificial Intelligence

165 views

Original Research

Accepted on 08 Dec 2025

Artificial Intelligence in Outpatient Management: A Simulation-Based Study in a Chinese Tertiary Hospital

in Medicine and Public Health

Xiaoxiao Quan
Kejun Wang
Junjie Pan
Zhiyu Fang

Frontiers in Artificial Intelligence

196 views

Original Research

Accepted on 08 Dec 2025

Improved Attention based PCNN with GhostNet for Epilepsy Seizure Detection using EEG and fMRI modalities: Extractive pattern and Histogram Feature set

in Medicine and Public Health

SUNKARA MOUNIKA
Reeja S R

Frontiers in Artificial Intelligence

234 views

Original Research

Published on 08 Dec 2025

LC-YOLOmatch: a novel scene segmentation approach based on YOLO for laparoscopic cholecystectomy

in Medicine and Public Health

Hong Long
Yuancheng Shao
Mini Han Wang
Fengshi Jing
Yuqiao Chen
Shuai Xiao
Jia Gu

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1706021

603 views

Original Research

Published on 08 Dec 2025

Gender-based Alzheimer's detection using ResNet-50 and binary dragonfly algorithm on neuroimaging

in Medicine and Public Health

Muhammad Ikram ul Haq
Waqas Haider Bangyal
Arfan Jaffar
Asma Abdullah Alfayez
Adnan Ashraf
Meshari Alazmi
Mubbashar Hussain

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1717913

609 views

Original Research

Published on 03 Dec 2025

Comparative analysis of frequentist, Bayesian, and machine learning models for predicting SARS-CoV-2 PCR positivity

in Medicine and Public Health

Francis Chukwuebuka Ihenetu
Chinyere Ihuarulam Okoro
Makuochukwu Maryann Ozoude
Emeka H. Okechukwu
Easter Godwin Nwokah

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1668477

872 views

Original Research

Published on 28 Nov 2025

DiaGuide-LLM—Using large language models for patient-specific education and health guidance in diabetes

in Medicine and Public Health

Kristin Skjervold
Henriette Nordahl Sævig
Helge Ræder
Arvid Lundervold
Alexander Selvikvåg Lundervold

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1652556

1,634 views

Brief Research Report

Published on 27 Nov 2025

Comparative performance of large language models in emotional safety classification across sizes and tasks

in Medicine and Public Health

Edoardo Pinzuti
Oliver Tüscher
André Ferreira Castro

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1706090

936 views

Original Research

Published on 27 Nov 2025

Statistical and machine learning approaches for identifying biomarker associations in respiratory diseases in a population-specific region

in Medicine and Public Health

Meshari Alazmi
Amer AlGhadhban
Abdulaziz Almalaq
Kamaleldin B. Said
Yazeed Faden

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1682774

1,187 views

Original Research

Accepted on 25 Nov 2025

Constructing a risk screen for attention difficulty in U.S. adults using six machine learning methods

in Medicine and Public Health

Li Yi
Ying Song
Yansun Sun
Zendan Guo

Frontiers in Artificial Intelligence

204 views

Original Research

Published on 25 Nov 2025

Explainable machine learning to predict postoperative ileus after radical cystectomy: an 11-year real-world cohort

in Medicine and Public Health

Xiaoping Chen
Guolong Chen
Zongxin Zheng
Huiming Lu
Yuyi Luo
Lu Man
Mengxiao Jiang

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1678292

658 views

Perspective

Published on 25 Nov 2025

Detecting body dysmorphic disorder in the age of algorithms

in Medicine and Public Health

Diala Haykal
George Kroumpouzos

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1717267

899 views

Original Research

Published on 25 Nov 2025

Universal medical image segmentation via in-context cross-attention

in Medicine and Public Health

Costin F. Ciusdel
Alex Serban
Tiziano Passerini

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1698324

886 views

Original Research

Accepted on 24 Nov 2025

A Lightweight Face Image–Based Auxiliary Detection Model for Autism Spectrum Disorder

in Medicine and Public Health

Chenkai Liao
Wenqiu Zhu

Frontiers in Artificial Intelligence

376 views

Original Research

Published on 21 Nov 2025

Decision tree-based approach to robust Parkinson's disease subtyping using clinical data of the Michael J. Fox Foundation LRRK2 cross-sectional study

in Medicine and Public Health

Soumyadeep Roy
Stefanie Krähe
Michael Marschollek
Helge Frieling
Niloy Ganguly
Dominik Wolff

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1668206

1,007 views

Original Research

Published on 20 Nov 2025

XAI-BT-EdgeNet: explainable edge-aware deep learning with squeeze-and-excitation for brain tumor detection and prediction

in Medicine and Public Health

Deependra Rastogi
Prashant Johri
Massimo Donelli
Tarun Agarwal
Shrikant Tiwari
Pushpa Singh

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1676524

1,049 views

Mini Review

Published on 19 Nov 2025

The application progress of artificial intelligence in osteoporosis diagnosis

in Medicine and Public Health

Wenwei Zhang
Dongxu Tai
Siwen Kang
Keda Li

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1699762

1,673 views

516 articles

articles

Exploring the use and perceived impact of artificial intelligence in medical internship: a cross-sectional study of Palestinian doctors

AI for evidence-based treatment recommendation in oncology: a blinded evaluation of large language models and agentic workflows

Multimodal observable cues in mood, anxiety, and borderline personality disorders: a review of reviews to inform explainable AI in mental health

Machine learning techniques for improved prediction of cardiovascular diseases using integrated healthcare data

Adaptation of convolutional neural networks for real-time abdominal ultrasound interpretation

Multimodal Graph Neural Networks in Healthcare: A Review of Fusion Strategies Across Biomedical Domains

Advancing Precision Medicine with Multi-Modal AI: Clinical Validation Across Genomics, Imaging, and EHR Data

Rectal Cancer Segmentation via HHF-SAM: A Hierarchical Hypercolumn-Guided Fusion Segment Anything Model

Artificial Intelligence in Outpatient Management: A Simulation-Based Study in a Chinese Tertiary Hospital

Improved Attention based PCNN with GhostNet for Epilepsy Seizure Detection using EEG and fMRI modalities: Extractive pattern and Histogram Feature set

LC-YOLOmatch: a novel scene segmentation approach based on YOLO for laparoscopic cholecystectomy

Gender-based Alzheimer's detection using ResNet-50 and binary dragonfly algorithm on neuroimaging

Comparative analysis of frequentist, Bayesian, and machine learning models for predicting SARS-CoV-2 PCR positivity

DiaGuide-LLM—Using large language models for patient-specific education and health guidance in diabetes

Comparative performance of large language models in emotional safety classification across sizes and tasks

Statistical and machine learning approaches for identifying biomarker associations in respiratory diseases in a population-specific region

Constructing a risk screen for attention difficulty in U.S. adults using six machine learning methods

Explainable machine learning to predict postoperative ileus after radical cystectomy: an 11-year real-world cohort

Detecting body dysmorphic disorder in the age of algorithms

Universal medical image segmentation via in-context cross-attention

A Lightweight Face Image–Based Auxiliary Detection Model for Autism Spectrum Disorder

Decision tree-based approach to robust Parkinson's disease subtyping using clinical data of the Michael J. Fox Foundation LRRK2 cross-sectional study

XAI-BT-EdgeNet: explainable edge-aware deep learning with squeeze-and-excitation for brain tumor detection and prediction

The application progress of artificial intelligence in osteoporosis diagnosis