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1546-170X3052024MayNature medicineNat MedAI-enabled electrocardiography alert intervention and all-cause mortality: a pragmatic randomized clinical trial.146114701461-147010.1038/s41591-024-02961-4The early identification of vulnerable patients has the potential to improve outcomes but poses a substantial challenge in clinical practice. This study evaluated the ability of an artificial intelligence (AI)-enabled electrocardiogram (ECG) to identify hospitalized patients with a high risk of mortality in a multisite randomized controlled trial involving 39 physicians and 15,965 patients. The AI-ECG alert intervention included an AI report and warning messages delivered to the physicians, flagging patients predicted to be at high risk of mortality. The trial met its primary outcome, finding that implementation of the AI-ECG alert was associated with a significant reduction in all-cause mortality within 90 days: 3.6% patients in the intervention group died within 90 days, compared to 4.3% in the control group (4.3%) (hazard ratio (HR) = 0.83, 95% confidence interval (CI) = 0.70-0.99). A prespecified analysis showed that reduction in all-cause mortality associated with the AI-ECG alert was observed primarily in patients with high-risk ECGs (HR = 0.69, 95% CI = 0.53-0.90). In analyses of secondary outcomes, patients in the intervention group with high-risk ECGs received increased levels of intensive care compared to the control group; for the high-risk ECG group of patients, implementation of the AI-ECG alert was associated with a significant reduction in the risk of cardiac death (0.2% in the intervention arm versus 2.4% in the control arm, HR = 0.07, 95% CI = 0.01-0.56). While the precise means by which implementation of the AI-ECG alert led to decreased mortality are to be fully elucidated, these results indicate that such implementation assists in the detection of high-risk patients, prompting timely clinical care and reducing mortality. ClinicalTrials.gov registration: NCT05118035 .© 2024. The Author(s), under exclusive licence to Springer Nature America, Inc.LinChin-ShengCSDivision of Cardiology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.Medical Technology Education Center, School of Medicine, National Defense Medical Center, Taipei, Taiwan, Republic of China.LiuWei-TingWT0000-0002-3817-4079Division of Cardiology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.TsaiDung-JangDJ0000-0002-5531-0810Medical Technology Education Center, School of Medicine, National Defense Medical Center, Taipei, Taiwan, Republic of China.Department of Artificial Intelligence and Internet of Things, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.Department of Statistics and Information Science, Fu Jen Catholic University, New Taipei City, Taiwan, Republic of China.LouYu-ShengYSDepartment of Artificial Intelligence and Internet of Things, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.ChangChiao-HsiangCHDivision of Cardiology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.LeeChiao-ChinCCDivision of Cardiology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.FangWen-HuiWHDepartment of Artificial Intelligence and Internet of Things, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.Department of Family and Community Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.WangChih-ChiaCCDepartment of Family and Community Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.ChenYen-YuanYYDepartment and Graduate Institute of Medical Education and Bioethics, National Taiwan University College of Medicine, Taipei, Taiwan, Republic of China.LinWei-ShiangWSDivision of Cardiology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.ChengCheng-ChungCCDivision of Cardiology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.LeeChia-ChengCCDepartment of Medical Informatics, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.Division of Colorectal Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.WangChih-HungCH0000-0001-5058-4356Department of Otolaryngology-Head and Neck Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan, Republic of China.TsaiChien-SungCSDivision of Cardiovascular Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.LinShih-HuaSH0000-0001-6152-4885Division of Nephrology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China.LinChinC0000-0003-2337-2096Medical Technology Education Center, School of Medicine, National Defense Medical Center, Taipei, Taiwan, Republic of China. xup6fup@mail.ndmctsgh.edu.tw.Department of Artificial Intelligence and Internet of Things, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republic of China. xup6fup@mail.ndmctsgh.edu.tw.School of Public Health, National Defense Medical Center, Taipei, Taiwan, Republic of China. xup6fup@mail.ndmctsgh.edu.tw.Graduate Institute of Aerospace and Undersea Medicine, National Defense Medical Center, Taipei, Taiwan, Republic of China. xup6fup@mail.ndmctsgh.edu.tw.engClinicalTrials.govNCT05118035Journal ArticleMulticenter StudyRandomized Controlled TrialPragmatic Clinical TrialResearch Support, Non-U.S. Gov't20240429
United StatesNat Med95020151078-8956IMAgedFemaleHumansMaleMiddle AgedArtificial IntelligenceElectrocardiography
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