Frontiers in Artificial Intelligence | Medicine and Public Health

Original Research

Published on 06 Jan 2026

Use of machine learning models to predict mechanical ventilation, ECMO, and mortality in COVID-19

in Medicine and Public Health

Nina Moorman
Erin Hedlund-Botti
Grace Gombolay
Matthew C. Gombolay

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1661637

1,059 views

Original Research

Published on 05 Jan 2026

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

doi 10.3389/frai.2025.1696586

813 views

Original Research

Accepted on 29 Dec 2025

Artificial Intelligence Models and Combined Scoring Approaches for Endometrial Receptivity Assessment in In Vitro Fertilization

in Medicine and Public Health

Teymur Bornaun

Frontiers in Artificial Intelligence

345 views

Editorial

Published on 19 Dec 2025

Editorial: Enhancing kidney transplant outcomes through machine learning innovations

in Medicine and Public Health

Antonio Sarasa-Cabezuelo
Krishna Kumar Sharma
Amado Andrés Belmonte
Ana M. Gonzalez De Miguel
Ulises Roman-Concha

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1760127

1,309 views

Original Research

Published on 19 Dec 2025

Development and validation of a multi-agent AI pipeline for automated credibility assessment of tobacco misinformation: a proof-of-concept study

in Medicine and Public Health

Sherif Elmitwalli
John Mehegan
Sophie Braznell
Allen Gallagher

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1659861

2,086 views

Original Research

Published on 18 Dec 2025

Machine learning-guided clinical pharmacist interventions improve treatment outcomes in tuberculosis patients: a precision medicine approach

in Medicine and Public Health

Dang Yi
Huanqing Liu
Qian Lei
Tingting Li

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1679837

1,524 views

Original Research

Published on 17 Dec 2025

Deep multimodal learning for domain-level cognitive decline prediction in Alzheimer's disease

in Medicine and Public Health

Fernando Garcı́a-Gutiérrez
Jordi A. Matias-Guiu
José L. Ayala

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1731062

1,866 views

Systematic Review

Published on 17 Dec 2025

Impact of generative AI in medical education in India: a systematic review

in Medicine and Public Health

Azfar Mateen
Visesh Kumar
Ajay Kumar Singh
Berendra Yadav
Mala Mahto
Atiq Hassan
Nazim Nasir

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1704785

1,571 views

Brief Research Report

Published on 12 Dec 2025

A deterministic large language model (LLM) framework for safe, protocol-adherent clinical decision support: application in hemodialysis anemia management (AnemiaCare HDs)

in Medicine and Public Health

Jose Arriola-Montenegro
Charat Thongprayoon
Benjamin Bizer
Jing Miao
Karina Ordaya-Gonzales
Iasmina M. Craici
Wisit Cheungpasitporn

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1728320

1,746 views

Original Research

Published on 12 Dec 2025

ChatGPT and reference intervals: a comparative analysis of repeatability in GPT-3.5 Turbo, GPT-4, and GPT-4o

in Medicine and Public Health

Annika Meyer
Edgar Schömig
Thomas Streichert

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1681979

1,421 views

Original Research

Published on 11 Dec 2025

Association of Shanghai air pollution with postoperative infection in adolescent orthopedic patients: a study using a deep learning-based evolutionary model

in Medicine and Public Health

Yufeng Wang
Yang Yuan
Yang Liu
Haoqi Cai

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1692207

860 views

Original Research

Published on 11 Dec 2025

Machine learning-based mortality prediction in critically ill patients with hypertension: comparative analysis, fairness, and interpretability

in Medicine and Public Health

Shenghan Zhang
Sirui Ding
Zidu Xu
Jiancheng Ye

Frontiers in Artificial Intelligence

doi 10.3389/frai.2025.1686378

1,703 views
4 citations

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

1,995 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

881 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

1,519 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

1,639 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

1,356 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

1,020 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

1,088 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

1,351 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

2,230 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

1,519 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

1,709 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

995 views

544 articles

articles

Use of machine learning models to predict mechanical ventilation, ECMO, and mortality in COVID-19

Artificial intelligence in outpatient management: a simulation-based study in a Chinese tertiary hospital

Artificial Intelligence Models and Combined Scoring Approaches for Endometrial Receptivity Assessment in In Vitro Fertilization

Editorial: Enhancing kidney transplant outcomes through machine learning innovations

Development and validation of a multi-agent AI pipeline for automated credibility assessment of tobacco misinformation: a proof-of-concept study

Machine learning-guided clinical pharmacist interventions improve treatment outcomes in tuberculosis patients: a precision medicine approach

Deep multimodal learning for domain-level cognitive decline prediction in Alzheimer's disease

Impact of generative AI in medical education in India: a systematic review

A deterministic large language model (LLM) framework for safe, protocol-adherent clinical decision support: application in hemodialysis anemia management (AnemiaCare HDs)

ChatGPT and reference intervals: a comparative analysis of repeatability in GPT-3.5 Turbo, GPT-4, and GPT-4o

Association of Shanghai air pollution with postoperative infection in adolescent orthopedic patients: a study using a deep learning-based evolutionary model

Machine learning-based mortality prediction in critically ill patients with hypertension: comparative analysis, fairness, and interpretability

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

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

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

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

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

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

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