PDF(Pubmed)
Abstract：
Syncope, a form of transient loss of consciousness, remains a complex medical condition for which adverse cardiovascular outcomes, including death, are of major concern but rarely occur. Current risk stratification algorithms have not completely delineated which patients benefit from hospitalization and specific interventions. Patients are often admitted unnecessarily and at high cost. Artificial intelligence (AI) and machine learning may help define the transient loss of consciousness event, diagnose the cause, assess short- and long-term risks, predict recurrence, and determine need for hospitalization and therapeutic intervention; however, several challenges remain, including medicolegal and ethical concerns. This collaborative statement, from a multidisciplinary group of clinicians, investigators, and scientists, focuses on the potential role of AI in syncope management with a goal to inspire creation of AI-derived clinical decision support tools that may improve patient outcomes, streamline diagnostics, and reduce health-care costs.
摘要：
晕厥,一种短暂的意识丧失，仍然是一个复杂的医疗条件，不良的心血管结果，包括死亡,是主要问题，但很少发生。当前的风险分层算法尚未完全描述哪些患者从住院和特定干预措施中受益。患者经常被不必要地收治，而且费用很高。人工智能（AI）和机器学习可能有助于定义短暂的意识丧失事件，诊断原因，评估短期和长期风险，预测复发，并确定是否需要住院治疗和治疗干预；然而，仍然存在一些挑战，包括法医学和道德问题。这份合作声明，来自一个多学科的临床医生小组，调查员,和科学家，重点关注AI在晕厥管理中的潜在作用，目标是激发创建可能改善患者预后的AI衍生临床决策支持工具，简化诊断，降低医疗成本。
