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ETHICS of AI Adoption and Deployment in Health Care: Progress, Challenges, and Next Steps

ETHICS of AI Adoption and Deployment in Health Care: Progress, Challenges, and Next Steps

Establish independent ethics boards to ensure objective oversight. As some deployed models degrade over time (drift) and clinical workflows change, continuous monitoring is necessary to detect safety issues early. Establish continuous monitoring pipelines for model drift. Implement active learning and regular model retraining. Operationalize clear sunset policies for unsafe models.

Obinna O Oleribe, Andrew W Taylor-Robinson, Christian C Chimezie, Simon D Taylor-Robinson

JMIR AI 2025;4:e67626


The Transformation of the Patient-Physician Relationship in Telemedicine: Sociological Approach in Dermatology

The Transformation of the Patient-Physician Relationship in Telemedicine: Sociological Approach in Dermatology

Reference 13: Sound trust and the ethics of telecare Reference 20: Cyberdermatoethics II: a case-based approach to teledermatology ethicsethics

Edmond Démoulins, Dilara Trupia, Ludovic Martin, Alexandre Mathieu-Fritz

J Med Internet Res 2025;27:e63591


Patient Participation in AI for Health Curriculum

Patient Participation in AI for Health Curriculum

The movement toward integrating patient perspectives into premedical education began decades ago, as modern medical ethics guidelines shifted away from framing patients as passive learning resources [11] to be studied by clinical experts [12]. In recent years, patients have begun to be recognized as essential partners in the knowledge creation process [13,14].

Kirsten Ostherr, Waverly Huang, Ana Park, Tom Punnen, Bhavik Tadigotla, Valencia Robinson, Andrea Downing

J Particip Med 2025;17:e69942


Placebo, Nocebo, and Machine Learning: How Generative AI Could Shape Patient Perception in Mental Health Care

Placebo, Nocebo, and Machine Learning: How Generative AI Could Shape Patient Perception in Mental Health Care

Long-standing, substantial academic literature has focused on the ethics of placebo and nocebo effects. This body of literature has focused almost entirely on how clinicians, primarily physicians [34], communicate with patients, examining both verbal and nonverbal cues with only limited attention given to how clinical artifacts and environmental features may also influence placebo and nocebo effects [35].

Charlotte Blease

JMIR Ment Health 2025;12:e78663


Ethics and Equity Challenges in Telerehabilitation for Older Adults: Rapid Review

Ethics and Equity Challenges in Telerehabilitation for Older Adults: Rapid Review

The following ethical aspects of the included studies can be categorized into safety, adverse events, privacy, empowerment, respect and knowledge of cultural diversity, and inclusion of ethics in research design. Safety concerns focus on ensuring that interventions do not cause harm to participants.

Mirella Veras, Louis-Pierre Auger, Jennifer Sigouin, Nahid Gheidari, Michelle LA Nelson, William C Miller, Anne Hudon, Dahlia Kairy

JMIR Aging 2025;8:e69660


Developing an AI Governance Framework for Safe and Responsible AI in Health Care Organizations: Protocol for a Multimethod Study

Developing an AI Governance Framework for Safe and Responsible AI in Health Care Organizations: Protocol for a Multimethod Study

The interviews will initially include informants from the board of directors and executive leadership, clinicians undertaking AI projects, clinical trial managers, and representatives from ethics and research governance offices, as well as clinical governance, risk, research, clinical operations, medical services, hospital liaison, legal, and consumer representatives.

Sam Freeman, Amy Wang, Sudeep Saraf, Erica Potts, Amy McKimm, Enrico Coiera, Farah Magrabi

JMIR Res Protoc 2025;14:e75702


Responsible Governance of Tribal Public Health Data: Data Sharing Ethics and Common Challenges in the US Public Health System

Responsible Governance of Tribal Public Health Data: Data Sharing Ethics and Common Challenges in the US Public Health System

While the CDC offers epidemiologic assistance to tribal health departments through their long-standing Epidemic Intelligence Service, this does not replace the need for targeted funding that allows tribal entities to develop workforce training pathway programs tailored to local priorities, such as education in epidemiologic research methodologies, data ethics, and disease surveillance [4,5].

Alec J Calac, Luis R Gasca, William H Swain

J Med Internet Res 2025;27:e77249


Managerial Challenges in Digital Health: Bibliometric and Network Analysis

Managerial Challenges in Digital Health: Bibliometric and Network Analysis

Based on the growth in the use of this keyword, various features have been identified as part of “digital health,” including the 10 E’s: efficiency, enhancing quality, evidence based, empowerment, encouragement, education, enabling, extending, ethics, and equity [7].

Quentin Garçon, Benjamin Cabanes, Cédric Denis-Rémis

J Med Internet Res 2025;27:e57980


Rectifying Genocidal Data Stewardship: A Commentary on Ethical and Legal Obligations for Sharing Data With Tribal Entities

Rectifying Genocidal Data Stewardship: A Commentary on Ethical and Legal Obligations for Sharing Data With Tribal Entities

The article “Dying in Darkness: Deviations From Data Sharing Ethics in the US Public Health System and the Data Genocide of American Indian and Alaska Native Communities” lays out a strong case for state and federal public health (PH) agencies to share data with Tribes and Tribal Epidemiology Centers (TECs) by default [1]. Schmit et al [1] expertly describe the legal and ethical lay of the land concerning PH data sharing, underscoring the need for non-Tribal PH agencies to respect Tribal sovereignty.

Oliver Bear Don't Walk IV, Lauren W Yowelunh McLester-Davis, Susan Brown Trinidad

J Med Internet Res 2025;27:e77946