研究表明 AI 测量心脏 MRI 射血分数预测死亡率的准确度略胜临床医生
Performance of artificial intelligence versus clinician left-ventricular segmentation of cardiac MRI for mortality prediction: a retrospective, multicentre, prognostic study
《The Lancet Digital Health》上的一项多中心研究发现，AI 从心脏 MRI 算出的射血分数，预测死亡率比医生测的还准一点。做医学影像或心血管 AI 工具的团队可以看看它的评估方法，回溯性数据怎么用、怎么和医生对比，都有参考价值。
《The Lancet Digital Health》发表一项回顾性多中心预后研究，比较 AI 与临床医生基于心脏磁共振（CMR）左心室分割计算的射血分数对死亡率的预测能力。结果显示，AI 衍生的射血分数在预测死亡率方面略优于临床医生测量的射血分数。
研究机制上，两者的射血分数均来自左心室分割后的容积计算，差异主要来自分割精度。作者据此提出，AI 有潜力承担一线射血分数测量，由临床医生负责审核，但这一结论需要前瞻性研究验证。
这项研究的意义在于为 AI 影像分析工具进入心血管常规工作流提供了预后层面的证据，不过研究属于回顾性设计，尚未证明在前瞻场景下的同等表现。
Performance of artificial intelligence versus clinician left-ventricular segmentation of cardiac MRI for mortality prediction: a retrospective, multicentre, prognostic study
AI-derived ejection fraction shows marginally superior prediction for mortality than clinician-derived ejection fraction in patients who had CMR. Findings support the potential utility of AI for first-line ejection-fraction measurement with clinician oversight, although this should be investigated in prospective studies.
This report is categorized under AITOP's "Papers" desk. Key entities and technical topics under continuous tracking include 射血分数, 心脏磁共振, 医学影像AI, The Lancet Digital Health.
Source attribution: curated from Lancet Digital Health (@George Joy, Karan Punjabi, George Searle, Zaid A Abdulelah, Tuguldur Gantur, Iain Pierce, George D Thornton, Benjamin Meredith, Hunain Shiwani, Miles Curtis, Shane Cashin, João B Augusto, Inês Miranda, Marianna Fontana, Peter Kellman, James P Howard, Matthew Shun-Shin, Thomas A Treibel, Charlotte Manisty, Michele Orini, Erik B Schelbert, Alun D Hughes, James C Moon, Rhodri H Davies).
