人工智能(AI)和其他机器诊断系统的发展,也被称为作为医疗设备的软件,最近将其引入临床实践需要在生物伦理学中根深蒂固的基础,以供监管机构和全球其他利益相关者考虑。
就在为医学中的人工智能建立生物伦理基础时要考虑的问题展开对话,基于眼睛结构的图像,与所有利益相关者进行讨论。
眼科成像和算法解释基础原则工作组正在审议的问题和讨论摘要的范围,在2020年9月7日的眼科影像学合作社区成立会议上首次提出,随后在工作组中提出。
人工智能有可能从根本上改善医疗保健服务和患者预后,同时缩小差距。降低成本,加强护理团队。然而,存在实质性的担忧。生物伦理学家,AI算法专家,以及食品和药物管理局和其他监管机构,工业,患者倡导团体,临床医生和他们的专业协会,其他提供者组,和付款人(即,利益相关者)在协作社区中共同努力,解决非恶意的基本道德问题,自主性,公平对于实现这一潜力至关重要。分辨率影响设计的各个层面,验证,以及人工智能在医学中的实施。设计,验证,人工智能的实施值得一丝不苟的关注。
如果建立在非恶意行为的基本伦理原则基础上,生物伦理健全的基础是可能的,自主性,以及设计考虑的公平性,验证,以及人工智能系统的实施。在监管机构考虑之前,实现这样的基础将有助于继续成功引入医学。卫生保健的可及性和质量方面的重要改进,减少健康差距,从而可以实现更低的成本。这些考虑应与所有利益攸关方讨论,并作为这一对话的有益启动加以扩大。
The development of artificial intelligence (AI) and other machine diagnostic systems, also known as software as a medical device, and its recent introduction into clinical practice requires a deeply rooted foundation in bioethics for consideration by regulatory agencies and other stakeholders around the globe.
To initiate a dialogue on the issues to consider when developing a bioethically sound foundation for AI in medicine, based on images of eye structures, for discussion with all stakeholders.
The scope of the issues and summaries of the discussions under consideration by the Foundational Principles of Ophthalmic Imaging and Algorithmic Interpretation Working Group, as first presented during the Collaborative Community on Ophthalmic Imaging inaugural meeting on September 7, 2020, and afterward in the working group.
Artificial intelligence has the potential to improve health care access and patient outcome fundamentally while decreasing disparities, lowering cost, and enhancing the care team. Nevertheless, substantial concerns exist. Bioethicists, AI algorithm experts, as well as the Food and Drug Administration and other regulatory agencies, industry, patient advocacy groups, clinicians and their professional societies, other provider groups, and payors (i.e., stakeholders) working together in collaborative communities to resolve the fundamental ethical issues of nonmaleficence, autonomy, and equity are essential to attain this potential. Resolution impacts all levels of the design, validation, and implementation of AI in medicine. Design, validation, and implementation of AI warrant meticulous attention.
The development of a bioethically sound foundation may be possible if it is based in the fundamental ethical principles of nonmaleficence, autonomy, and equity for considerations for the design, validation, and implementation for AI systems. Achieving such a foundation will be helpful for continuing successful introduction into medicine before consideration by regulatory agencies. Important improvements in accessibility and quality of health care, decrease in health disparities, and lower cost thereby can be achieved. These considerations should be discussed with all stakeholders and expanded on as a useful initiation of this dialogue.