Holmes Scott A, Faria Vanda, Moulton Eric A
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.
Front Digit Health. 2025 Jun 18;7:1524553. doi: 10.3389/fdgth.2025.1524553. eCollection 2025.
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.
临床研究不再是一个患者和参与者是唯一信息来源的垄断环境。基于人工智能的方法在医疗保健领域的引入和加速发展正在创造一个复杂的环境,在这个环境中,人类衍生的数据不再是研究人员和临床医生探索和检验其假设的唯一机制。自我能动性的概念与此密切相关,因为生成性数据并不包含与人类衍生数据相同的个人生活经历。在识别支持医疗和研究决策的数据源方面缺乏问责制和透明度,有可能立即对患者护理产生负面影响。本评论探讨了生成式人工智能的引入和扩散如何影响自我能动性,并讨论了改进而非破坏由人工智能推动的医疗保健进步的未来方向。