Responsible Health AI

Articles published in 2025 in this theme: 56 (scroll down to load remaining articles)

2025

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Hype vs Reality in the Integration of Artificial Intelligence in Clinical Workflows

Alaa Abd-Alrazaq, Barry Solaiman, Yosra Magdi Mekki, Dena Al-Thani, Faisal Farooq, Metab Alkubeyyer, Mohamed Ziyad Abubacker, Rawan AlSaad, Sarah Aziz, Ahmed Serag, Rajat Thomas, Javaid Sheikh, Arfan Ahmed

JMIR Form Res 2025 (Dec 12); 9:e70921

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Critical Appraisal Tools for Evaluating Artificial Intelligence in Clinical Studies: Scoping Review

Juan B Cabello, Vicente Ruiz Garcia, Miguel Torralba, Miguel Maldonado Fernandez, Marimar Ubeda, Eukene Ansuategui, Luis Ramos-Ruperto, Jose I Emparanza, Iratxe Urreta, Maria Teresa Iglesias, Jose I Pijoan, Amanda Burls

J Med Internet Res 2025 (Dec 08); 27:e77110

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Promoting Responsible DeepSeek Deployment in Health Care: Scoping Review Comparing Grey and White Literature

Wang Jiang, Dan Wang, Yihang Zeng, Jiaqi Huang, Chang Xu, Chenxi Liu

J Med Internet Res 2025 (Dec 05); 27:e80770

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Listening to Patients’ Voices on the Use of AI in Health Care: Cross-Sectional Study

Ranganathan Chandrasekaran, Lavanya Takale, Evangelos Moustakas

J Med Internet Res 2025 (Dec 05); 27:e77501

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Barriers and Facilitators to Health Care AI Adoption Among Those Living in Wales and Working in Health Care in Wales: Online Survey

Michal Pruski, Katherine E Woolley, Kathleen L Withers

J Med Internet Res 2025 (Dec 05); 27:e81543

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Evaluating Locally Run Large Language Models (Gemma 2, Mistral Nemo, and Llama 3) for Outpatient Otorhinolaryngology Care: Retrospective Study

Christoph Raphael Buhr, Christopher Seifen, Katharina Bahr-Hamm, Tilman Huppertz, Johannes Pordzik, Harry Smith, Tom Kelsey, Andrew Blaikie, Christoph Matthias, Sebastian Kuhn, Jonas Eckrich

JMIR Form Res 2025 (Nov 25); 9:e76896

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Exploring Primary Care Patients’ Perspectives on Artificial Intelligence: Systematic Literature Review and Qualitative Meta-Synthesis

Alisa Mundzic, Robin Bogdanffy, David Sundemo, Pär-Daniel Sundvall, Jonathan Widén, Peter Nymberg, Carl Wikberg, Anna Moberg, Ronny Gunnarsson, Artin Entezarjou

JMIR AI 2025 (Nov 19); 4:e72211

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Use First, Trust Later? Exploring How Health Care Providers View the Gaps Between AI’s Regulation and Its Implementation

Aviad Raz, Yael Inbar, Ziv Paz, Barkan Hofman, Zalman Itzhakov, Orly Weinstein

JMIR Form Res 2025 (Nov 10); 9:e74038

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A Prompt Engineering Framework for Large Language Model–Based Mental Health Chatbots: Conceptual Framework

Sorio Boit, Rajvardhan Patil

JMIR Ment Health 2025 (Nov 07); 12:e75078

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Leveraging Artificial Intelligence for Clinical Study Matching: Key Threads for Interweaving Data Science and Implementation Science

Andrew James Goodwin, Sara Ann Armstrong, David Ptak, Kenneth Catchpole, Jihad S Obeid, Paul M Heider

JMIR Form Res 2025 (Oct 30); 9:e71831

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Detecting Laterality Errors in Combined Radiographic Studies by Enhancing the Traditional Approach With GPT-4o: Algorithm Development and Multisite Internal Validation

Kung-Hsun Weng, Yi-Chen Chou, Yu-Ting Kuo, Tsyh-Jyi Hsieh, Chung-Feng Liu

JMIR Form Res 2025 (Oct 29); 9:e76384

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Evaluating the Reliability and Accuracy of an AI-Powered Search Engine in Providing Responses on Dietary Supplements: Quantitative and Qualitative Evaluation

Mingxin Liu, Tsuyoshi Okuhara, Ritsuko Shirabe, Yuriko Nishiie, Yinghan Xu, Hiroko Okada, Takahiro Kiuchi

JMIR AI 2025 (Oct 29); 4:e78436

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Carbon Reporting Practices in the NHS: Emissions and Omissions Relating to Artificial Intelligence

Duncan J Reynolds

J Med Internet Res 2025 (Oct 27); 27:e79174

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Human-Machine Agreement in Medical Ethics: Patient Autonomy Case-Based Evaluation of Large Language Models

Vamshi Mugu, Brendan Carr, Ashish Khandelwal, Mike Olson, John Schupbach, John Zietlow, T N Diem Vu, Alex Chan, Christopher Collura, John Schmitz

JMIR Med Inform 2025 (Oct 23); 13:e77061

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Exploring Patient Perspectives, Engagement, and Output Quality in Doctor-Supervised Use of Artificial Intelligence During Informed Consent Consultation With ChatGPT and Retrieval Augmented Generation (RAG): Quantitative Exploratory Study

Sascha Donner, Poroshista Knauer, Arne Kienzle, Jesse Dinneen, Joost Burger, Carsten Perka, Stefanie Donner

J Med Internet Res 2025 (Oct 22); 27:e73717

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Global Adoption, Promotion, Impact, and Deployment of AI in Patient Care, Health Care Delivery, Management, and Health Care Systems Leadership: Cross-Sectional Survey

Obinna O Oleribe, Andrew W Taylor-Robinson, Vetty R Agala, Olajide O Sobande, Ricardo Izurieta, Simon D Taylor-Robinson

J Med Internet Res 2025 (Oct 22); 27:e70805

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Improving Large Language Model Applications in the Medical and Nursing Domains With Retrieval-Augmented Generation: Scoping Review

Yiqun Miao, Yuhan Zhao, Yuan Luo, Huiying Wang, Ying Wu

J Med Internet Res 2025 (Oct 21); 27:e80557

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Explainable AI-Driven Analysis of Radiology Reports Using Text and Image Data: Experimental Study

Muhammad Tayyab Zamir, Safir Ullah Khan, Alexander Gelbukh, Edgardo Manuel Felipe Riverón, Irina Gelbukh

JMIR Form Res 2025 (Oct 14); 9:e77482

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Performance of Large Language Models in Diagnosing Rare Hematologic Diseases and the Impact of Their Diagnostic Outputs on Physicians: Combined Retrospective and Prospective Study

Hongbin Yu, Tian Chen, Xin Zhang, Yunfan Yang, Qinyu Liu, Chenlu Yang, Kai Shen, He Li, Wenjiao Tang, Xushu Zhong, Xiao Shuai, Xinmei Yu, Yi Liao, Chiyi Wang, Huanling Zhu, Yu Wu

J Med Internet Res 2025 (Oct 09); 27:e77334

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Principles and Practices of Community Engagement in AI for Population Health: Formative Qualitative Study of the AI for Diabetes Prediction and Prevention Project

Ibukun-Oluwa Omolade Abejirinde, Ijeoma Uchenna Itanyi, Kathy Kornas, Remziye Zaim, Shion Guha, Victoria Chui, Lorraine Lipscombe, Laura C Rosella, James Shaw

J Particip Med 2025 (Oct 02); 17:e69497

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