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Generative AI in healthcare: challenges to patient agency and ethical implications.

作者信息

Holmes Scott A, Faria Vanda, Moulton Eric A

机构信息

Pediatric Pain Pathway Lab, Department of Anesthesia, Critical Care and Pain Medicine, Boston Children's Hospital/Harvard Medical School, Boston, MA, United States.

Department of Anesthesia, Critical Care and Pain Medicine, Harvard Medical School, Boston Children's Hospital, Boston, MA, United States.

出版信息

Front Digit Health. 2025 Jun 18;7:1524553. doi: 10.3389/fdgth.2025.1524553. eCollection 2025.

Abstract

Clinical research is no longer a monopolistic environment wherein patients and participants are the sole voice of information. The introduction and acceleration of AI-based methods in healthcare is creating a complex environment where human-derived data is no longer the sole mechanism through which researchers and clinicians explore and test their hypotheses. The concept of self-agency is intimately tied into this, as generative data does not encompass the same person-lived experiences as human-derived data. The lack of accountability and transparency in recognizing data sources supporting medical and research decisions has the potential to immediately and negatively impact patient care. This commentary considers how self-agency is being confronted by the introduction and proliferation of generative AI, and discusses future directions to improve, rather than undermine AI-fueled healthcare progress.

摘要

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