Ethical, Legal, and Social Issues in AI

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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Role of Ethics in Developing AI-Based Applications in Medicine: Insights From Expert Interviews and Discussion of Implications

Lukas Weidener, Michael Fischer

JMIR AI 2024 (Jan 12); 3:e51204

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Developing Ethics and Equity Principles, Terms, and Engagement Tools to Advance Health Equity and Researcher Diversity in AI and Machine Learning: Modified Delphi Approach

Rachele Hendricks-Sturrup, Malaika Simmons, Shilo Anders, Kammarauche Aneni, Ellen Wright Clayton, Joseph Coco, Benjamin Collins, Elizabeth Heitman, Sajid Hussain, Karuna Joshi, Josh Lemieux, Laurie Lovett Novak, Daniel J Rubin, Anil Shanker, Talitha Washington, Gabriella Waters, Joyce Webb Harris, Rui Yin, Teresa Wagner, Zhijun Yin, Bradley Malin

JMIR AI 2023 (Dec 06); 2:e52888

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Insights on the Current State and Future Outlook of AI in Health Care: Expert Interview Study

Pia Hummelsberger, Timo K Koch, Sabrina Rauh, Julia Dorn, Eva Lermer, Martina Raue, Matthias F C Hudecek, Andreas Schicho, Errol Colak, Marzyeh Ghassemi, Susanne Gaube

JMIR AI 2023 (Oct 31); 2:e47353

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Physicians’ and Machine Learning Researchers’ Perspectives on Ethical Issues in the Early Development of Clinical Machine Learning Tools: Qualitative Interview Study

Jane Paik Kim, Katie Ryan, Max Kasun, Justin Hogg, Laura B Dunn, Laura Weiss Roberts

JMIR AI 2023 (Oct 30); 2:e47449

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Association of Health Care Work With Anxiety and Depression During the COVID-19 Pandemic: Structural Topic Modeling Study

Matteo Malgaroli, Emily Tseng, Thomas D Hull, Emma Jennings, Tanzeem K Choudhury, Naomi M Simon

JMIR AI 2023 (Oct 24); 2:e47223

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Identifying the Question Similarity of Regulatory Documents in the Pharmaceutical Industry by Using the Recognizing Question Entailment System: Evaluation Study

Nidhi Saraswat, Chuqin Li, Min Jiang

JMIR AI 2023 (Sep 26); 2:e43483

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Artificial Intelligence in Health Care—Understanding Patient Information Needs and Designing Comprehensible Transparency: Qualitative Study

Renee Robinson, Cara Liday, Sarah Lee, Ishan C Williams, Melanie Wright, Sungjoon An, Elaine Nguyen

JMIR AI 2023 (Jun 19); 2:e46487

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Forecasting Artificial Intelligence Trends in Health Care: Systematic International Patent Analysis

Stan Benjamens, Pranavsingh Dhunnoo, Márton Görög, Bertalan Mesko

JMIR AI 2023 (May 26); 2:e47283

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Enabling Early Health Care Intervention by Detecting Depression in Users of Web-Based Forums using Language Models: Longitudinal Analysis and Evaluation

David Owen, Dimosthenis Antypas, Athanasios Hassoulas, Antonio F Pardiñas, Luis Espinosa-Anke, Jose Camacho Collados

JMIR AI 2023 (Mar 24); 2:e41205

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