Reviews in AI

Studying the Potential Effects of Artificial Intelligence on Physician Autonomy: Scoping Review

John Grosser, Juliane Düvel, Lena Hasemann, Emilia Schneider, Wolfgang Greiner

JMIR AI 2025 (Mar 13); 4:e59295

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Survey on Pain Detection Using Machine Learning Models: Narrative Review

Ruijie Fang, Elahe Hosseini, Ruoyu Zhang, Chongzhou Fang, Setareh Rafatirad, Houman Homayoun

JMIR AI 2025 (Feb 24); 4:e53026

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Identification of Use Cases, Target Groups, and Motivations Around Adopting Smart Speakers for Health Care and Social Care Settings: Scoping Review

Sebastian Merkel, Sabrina Schorr

JMIR AI 2025 (Jan 13); 4:e55673

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Task-Specific Transformer-Based Language Models in Health Care: Scoping Review

Ha Na Cho, Tae Joon Jun, Young-Hak Kim, Heejun Kang, Imjin Ahn, Hansle Gwon, Yunha Kim, Jiahn Seo, Heejung Choi, Minkyoung Kim, Jiye Han, Gaeun Kee, Seohyun Park, Soyoung Ko

JMIR Med Inform 2024 (Nov 18); 12:e49724

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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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Understanding AI’s Role in Endometriosis Patient Education and Evaluating Its Information and Accuracy: Systematic Review

Juliana Almeida Oliveira, Karine Eskandar, Emre Kar, Flávia Ribeiro de Oliveira, Agnaldo Lopes da Silva Filho

JMIR AI 2024 (Oct 30); 3:e64593

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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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Exploring Machine Learning Applications in Pediatric Asthma Management: Scoping Review

Tanvi Ojha, Atushi Patel, Krishihan Sivapragasam, Radha Sharma, Tina Vosoughi, Becky Skidmore, Andrew D Pinto, Banafshe Hosseini

JMIR AI 2024 (Aug 27); 3:e57983

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Approaches for the Use of AI in Workplace Health Promotion and Prevention: Systematic Scoping Review

Martin Lange, Alexandra Löwe, Ina Kayser, Andrea Schaller

JMIR AI 2024 (Aug 20); 3:e53506

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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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Machine Learning–Based Asthma Attack Prediction Models From Routinely Collected Electronic Health Records: Systematic Scoping Review

Arif Budiarto, Kevin C H Tsang, Andrew M Wilson, Aziz Sheikh, Syed Ahmar Shah

JMIR AI 2023 (Dec 07); 2:e46717

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Predicting Adherence to Behavior Change Support Systems Using Machine Learning: Systematic Review

Akon Obu Ekpezu, Isaac Wiafe, Harri Oinas-Kukkonen

JMIR AI 2023 (Nov 22); 2:e46779

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Application of a Comprehensive Evaluation Framework to COVID-19 Studies: Systematic Review of Translational Aspects of Artificial Intelligence in Health Care

Aaron Edward Casey, Saba Ansari, Bahareh Nakisa, Blair Kelly, Pieta Brown, Paul Cooper, Imran Muhammad, Steven Livingstone, Sandeep Reddy, Ville-Petteri Makinen

JMIR AI 2023 (Jul 06); 2:e42313

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Strategies to Improve the Impact of Artificial Intelligence on Health Equity: Scoping Review

Carl Thomas Berdahl, Lawrence Baker, Sean Mann, Osonde Osoba, Federico Girosi

JMIR AI 2023 (Feb 07); 2:e42936

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The Application of Artificial Intelligence in Health Care Resource Allocation Before and During the COVID-19 Pandemic: Scoping Review

Hao Wu, Xiaoyu Lu, Hanyu Wang

JMIR AI 2023 (Jan 30); 2:e38397

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