Ethical, Legal, and Social Issues in AI

Ensuring Appropriate Representation in Artificial Intelligence–Generated Medical Imagery: Protocol for a Methodological Approach to Address Skin Tone Bias

Andrew O'Malley, Miriam Veenhuizen, Ayla Ahmed

JMIR AI 2024 (Nov 27); 3:e58275

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Using Large Language Models to Abstract Complex Social Determinants of Health From Original and Deidentified Medical Notes: Development and Validation Study

Alexandra Ralevski, Nadaa Taiyab, Michael Nossal, Lindsay Mico, Samantha Piekos, Jennifer Hadlock

J Med Internet Res 2024 (Nov 19); 26:e63445

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Benefits and Risks of AI in Health Care: Narrative Review

Margaret Chustecki

Interact J Med Res 2024 (Nov 18); 13:e53616

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EDAI Framework for Integrating Equity, Diversity, and Inclusion Throughout the Lifecycle of AI to Improve Health and Oral Health Care: Qualitative Study

Samira Abbasgholizadeh Rahimi, Richa Shrivastava, Anita Brown-Johnson, Pascale Caidor, Claire Davies, Amal Idrissi Janati, Pascaline Kengne Talla, Sreenath Madathil, Bettina M Willie, Elham Emami

J Med Internet Res 2024 (Nov 15); 26:e63356

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Applications and Concerns of ChatGPT and Other Conversational Large Language Models in Health Care: Systematic Review

Leyao Wang, Zhiyu Wan, Congning Ni, Qingyuan Song, Yang Li, Ellen Clayton, Bradley Malin, Zhijun Yin

J Med Internet Res 2024 (Nov 07); 26:e22769

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How Explainable Artificial Intelligence Can Increase or Decrease Clinicians’ Trust in AI Applications in Health Care: Systematic Review

Rikard Rosenbacke, Åsa Melhus, Martin McKee, David Stuckler

JMIR AI 2024 (Oct 30); 3:e53207

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Advancing AI Data Ethics in Nursing: Future Directions for Nursing Practice, Research, and Education

Patricia A Ball Dunlap, Martin Michalowski

JMIR Nursing 2024 (Oct 25); 7:e62678

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An Ethical Perspective on the Democratization of Mental Health With Generative AI

Zohar Elyoseph, Tamar Gur, Yuval Haber, Tomer Simon, Tal Angert, Yuval Navon, Amir Tal, Oren Asman

JMIR Ment Health 2024 (Oct 17); 11:e58011

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The Dual Nature of AI in Information Dissemination: Ethical Considerations

Federico Germani, Giovanni Spitale, Nikola Biller-Andorno

JMIR AI 2024 (Oct 15); 3:e53505

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Regulating AI in Mental Health: Ethics of Care Perspective

Tamar Tavory

JMIR Ment Health 2024 (Sep 19); 11:e58493

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The “Magical Theory” of AI in Medicine: Thematic Narrative Analysis

Giorgia Lorenzini, Laura Arbelaez Ossa, Stephen Milford, Bernice Simone Elger, David Martin Shaw, Eva De Clercq

JMIR AI 2024 (Aug 19); 3:e49795

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Regulatory Frameworks for AI-Enabled Medical Device Software in China: Comparative Analysis and Review of Implications for Global Manufacturer

Yu Han, Aaron Ceross, Jeroen Bergmann

JMIR AI 2024 (Jul 29); 3:e46871

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Toward Clinical Generative AI: Conceptual Framework

Nicola Luigi Bragazzi, Sergio Garbarino

JMIR AI 2024 (Jun 07); 3:e55957

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Understanding the Long Haulers of COVID-19: Mixed Methods Analysis of YouTube Content

Alexis Jordan, Albert Park

JMIR AI 2024 (Jun 03); 3:e54501

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Cost, Usability, Credibility, Fairness, Accountability, Transparency, and Explainability Framework for Safe and Effective Large Language Models in Medical Education: Narrative Review and Qualitative Study

Majdi Quttainah, Vinaytosh Mishra, Somayya Madakam, Yotam Lurie, Shlomo Mark

JMIR AI 2024 (Apr 23); 3:e51834

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Perceptions of Family Physicians About Applying AI in Primary Health Care: Case Study From a Premier Health Care Organization

Muhammad Atif Waheed, Lu Liu

JMIR AI 2024 (Apr 17); 3:e40781

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Privacy-Preserving Federated Survival Support Vector Machines for Cross-Institutional Time-To-Event Analysis: Algorithm Development and Validation

Julian Späth, Zeno Sewald, Niklas Probul, Magali Berland, Mathieu Almeida, Nicolas Pons, Emmanuelle Le Chatelier, Pere Ginès, Cristina Solé, Adrià Juanola, Josch Pauling, Jan Baumbach

JMIR AI 2024 (Mar 29); 3:e47652

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Reidentification of Participants in Shared Clinical Data Sets: Experimental Study

Daniela Wiepert, Bradley A Malin, Joseph R Duffy, Rene L Utianski, John L Stricker, David T Jones, Hugo Botha

JMIR AI 2024 (Mar 15); 3:e52054

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An Environmental Uncertainty Perception Framework for Misinformation Detection and Spread Prediction in the COVID-19 Pandemic: Artificial Intelligence Approach

Jiahui Lu, Huibin Zhang, Yi Xiao, Yingyu Wang

JMIR AI 2024 (Jan 29); 3:e47240

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Beyond the Hype—The Actual Role and Risks of AI in Today’s Medical Practice: Comparative-Approach Study

Steffan Hansen, Carl Joakim Brandt, Jens Søndergaard

JMIR AI 2024 (Jan 22); 3:e49082

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