摘要
由机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑-调查人员讨论人工智能的新发现。根据NewsRx记者从哥伦比亚特区华盛顿发回的新闻报道，研究表明，“内科医生越来越多地与实施人工智能(AI)和机器学习(ML)技术的系统互动。一些医生和其他护理系统甚至在电子健康记录(EHR)系统内外开发自己的人工智能模型。”新闻记者从美国医师学会的研究中获得了一句话：“这些技术在医疗保健的整个过程中都有不同的应用，如临床文档、诊断图像处理和临床决策支持。随着大量患者数据的不断增加和临床医生前所未有的倦怠水平，这些技术在医疗保健领域有着广泛的应用。”这些技术的扩散受到了一些医生的谨慎欢迎。另一些医生认为IT给医患关系和医生的职业诚信带来了挑战。考虑到一些人工智能模型的“Blac K框”性质，这些处置是可以理解的，对于这些模型，规范和开发方法可以被严密保护或专有。伴随着相对滞后或缺乏适当的监管审查和验证。这份美国医师学会(ACP)立场文件描述了该学会关于在提供医疗保健中使用AI和ML支持的工具和系统的基础立场和建议。该学会的许多立场和建议，例如那些与以病人为中心、隐私和透明度有关的立场和建议。基于ACP伦理手册中的原则。这些原则还来源于对工具临床安全性和有效性的评估，以及IR对健康差异的潜在后果。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Artificial Intelligence. According to news reporting originating in Washington, District of Columbia, by NewsRx journalists, research stated, “Internal medicine physicians are increasingly interacting with systems that implement artificial intelligence (AI) and machine learning (ML) technologies. Some physicians and he alth care systems are even developing their own AI models, both within and outsi de of electronic health record (EHR) systems.” The news reporters obtained a quote from the research from the American College of Physicians, “These technologies have various applications throughout the prov ision of health care, such as clinical documentation, diagnostic image processin g, and clinical decision support. With the growing availability of vast amounts of patient data and unprecedented levels of clinician burnout, the proliferation of these technologies is cautiously welcomed by some physicians. Others think i t presents challenges to the patientphysician relationship and the professional integrity of physicians. These dispositions are understandable, given the ‘blac k box’ nature of some AI models, for which specifications and development method s can be closely guarded or proprietary, along with the relative lagging or abse nce of appropriate regulatory scrutiny and validation. This American College of Physicians (ACP) position paper describes the College’s foundational positions a nd recommendations regarding the use of AI- and ML-enabled tools and systems in the provision of health care. Many of the College’s positions and recommendation s, such as those related to patient-centeredness, privacy, and transparency, are founded on principles in the ACP Ethics Manual. They are also derived from cons iderations for the clinical safety and effectiveness of the tools as well as the ir potential consequences regarding health disparities.”
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