胸痛与人工智能解读：临床判断和高质量数据的重要作用。

IF 1.3 4区医学 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS

Journal of electrocardiology Pub Date : 2024-11-01 DOI:10.1016/j.jelectrocard.2024.153823

Marco Biasin MD , Sara Lomi MD , Laura Pagani MD, Gabriele Facci MD, Davide Betta MD, Giovanni Morani MD

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引用次数: 0

摘要

胸痛是急诊科常见且复杂的病症，由于其潜在病因广泛，往往使诊断过程复杂化。本病例报告的患者是一名 72 岁的男性，胸痛和心电图 ST 段抬高最初提示急性冠状动脉综合征。人工智能辅助心电图分析加强了这一怀疑；然而，血管造影显示冠状动脉通畅。当他的症状持续存在时，进一步检查发现了气胸。额外的评估发现了一个影响人工智能解读的数字化错误。本病例强调了胸痛综合临床方法的重要性，并突出了高质量数据输入和替代成像（如胸部超声）对准确及时的鉴别诊断的必要性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Chest pain and AI interpretation: The essential role of clinical judgment and quality data

Chest pain is a common and complex condition in emergency departments, often complicating the diagnostic process due to its wide range of potential causes. This case report presents a 72-year-old man with chest pain and ST-segment elevation on ECG, initially suggestive of acute coronary syndrom. AI-assisted ECG analysis reinforced this suspicion; however, angiography revealed patent coronary arteries. When his symptoms persisted, further investigation uncovered a pneumothorax. Additional evaluation identified a digitization error affecting the AI interpretation. This case underscores the importance of a comprehensive clinical approach for chest pain and highlights the need for quality data input and alternative imaging, such as thoracic ultrasound, for accurate and timely differential diagnoses.

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来源期刊

Journal of electrocardiology 医学-心血管系统

CiteScore

2.70

自引率

7.70%

发文量

152

审稿时长

38 days

期刊介绍： The Journal of Electrocardiology is devoted exclusively to clinical and experimental studies of the electrical activities of the heart. It seeks to contribute significantly to the accuracy of diagnosis and prognosis and the effective treatment, prevention, or delay of heart disease. Editorial contents include electrocardiography, vectorcardiography, arrhythmias, membrane action potential, cardiac pacing, monitoring defibrillation, instrumentation, drug effects, and computer applications.