研究人员开发了一种 AI 工具，可以使用患者记录预测心房颤动，旨在预防中风。 Researchers developed an AI tool to predict atrial fibrillation using patient records, aiming to prevent strokes.

利兹大学的科学家和临床医生创造了一种人工智能工具，通过分析全科医生记录的年龄、性别、种族和现有医疗状况等风险因素，来预测心房颤动 （AF），这是一种导致心律不齐的心脏病。 Scientists and clinicians at the University of Leeds have created an AI tool that predicts atrial fibrillation (AF), a heart condition causing irregular heartbeats, by analyzing GP records for risk factors like age, sex, ethnicity, and existing medical conditions. 该工具在英国心脏基金会资助的“Find-AF”试验中进行了测试，可识别高危患者，并为他们提供手持式心电图机来监测他们的心律。 The tool, tested in the "Find-AF" trial funded by the British Heart Foundation, identifies high-risk patients and offers them a handheld ECG machine to monitor their heart rhythm. 如果检测到 AF，会通知全科医生讨论治疗方案，从而可能预防中风。 If AF is detected, GPs are informed to discuss treatment options, potentially preventing strokes.