Nicol Edward D, Weir-McCall Jonathan R, Shaw Leslee J, Williamson Eric
Departments of Cardiology and Radiology, Royal Brompton Hospital, Guys and St Thomas' NHS Foundation Trust, London, UK; School of Biomedical Engineering and Imaging Sciences, King's College, London, UK.
School of Clinical Medicine, University of Cambridge, Cambridge, UK; Department of Radiology, Royal Papworth Hospital, Cambridge, UK.
J Cardiovasc Comput Tomogr. 2023 Jan-Feb;17(1):11-17. doi: 10.1016/j.jcct.2022.07.005. Epub 2022 Jul 21.
This manuscript has been written as a follow-up to the "AI/ML great debate" featured at the 2021 Society of Cardiovascular Computed Tomography (SCCT) Annual Scientific Meeting. In debate style, we highlighti the need for expectation management of AI/ML, debunking the hype around current AI techniques, and countering the argument that in its current day format AI/ML is the "silver bullet" for the interpretation of daily clinical CCTA practice.
本手稿是对2021年心血管计算机断层扫描学会（SCCT）年度科学会议上的“AI/ML大辩论”的后续跟进。以辩论的形式，我们强调了对AI/ML进行预期管理的必要性，揭穿了围绕当前AI技术的炒作，并反驳了当前形式的AI/ML是日常临床CCTA实践解读的“万灵药”这一观点。
