Role of Artificial Intelligence-assisted Decision Support Tool for Common Rhythm Disturbances: A ChatGPT Proof-of-concept Study.

IF 0.9 Q3 MEDICINE, GENERAL & INTERNAL

Journal of Community Hospital Internal Medicine Perspectives Pub Date : 2024-11-02 eCollection Date: 2024-01-01 DOI:10.55729/2000-9666.1402

Jahanzeb Malik, Muhammad W Afzal, Salaar S Khan, Muhammad R Umer, Bushra Fakhar, Amin Mehmoodi

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引用次数: 0

Abstract

Background: The objective of this article was to explore the use of ChatGPT as a clinical support tool for common arrhythmias.

Methods: This study assessed the feasibility of using ChatGPT as an AI decision-support tool for common rhythm disturbances. The study was conducted using retrospective data collected from electronic medical records (EMRs) of patients with documented rhythm disturbances. The model's performance was evaluated using sensitivity, specificity, positive predictive value, and negative predictive value.

Results: A total of 20,000 patients with rhythm disturbances were included in the study. The ChatGPT model demonstrated high diagnostic accuracy in identifying and diagnosing common rhythm disturbances, with a sensitivity of 93%, specificity of 89%, positive predictive value of 91%, and negative predictive value of 92%. The ROC curve analysis showed an area under the curve (AUC) of 0.743, indicating the excellent diagnostic performance of the ChatGPT model.

Conclusion: The model's diagnostic performance was comparable to clinical experts, indicating its potential to enhance clinical decision-making and improve patient outcomes.

Clinical trial registration: Not applicable.

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人工智能辅助决策支持工具在常见节律干扰中的作用：一项ChatGPT概念验证研究。

背景：本文的目的是探讨ChatGPT作为常见心律失常的临床支持工具的使用。方法：本研究评估了ChatGPT作为常见心律失常人工智能决策支持工具的可行性。该研究使用从记录有节律障碍的患者的电子病历（emr）中收集的回顾性数据进行。采用敏感性、特异性、阳性预测值和阴性预测值对模型的性能进行评价。结果：共纳入2万例心律失常患者。ChatGPT模型在识别和诊断常见节律障碍方面具有较高的诊断准确性，灵敏度为93%，特异性为89%，阳性预测值为91%，阴性预测值为92%。ROC曲线分析显示曲线下面积（AUC）为0.743，表明ChatGPT模型具有良好的诊断性能。结论：该模型的诊断性能与临床专家相当，具有增强临床决策和改善患者预后的潜力。临床试验注册：不适用。

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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来源期刊

Journal of Community Hospital Internal Medicine Perspectives MEDICINE, GENERAL & INTERNAL-

自引率

0.00%

发文量

106

审稿时长

17 weeks

期刊介绍： JCHIMP provides: up-to-date information in the field of Internal Medicine to community hospital medical professionals a platform for clinical faculty, residents, and medical students to publish research relevant to community hospital programs. Manuscripts that explore aspects of medicine at community hospitals welcome, including but not limited to: the best practices of community academic programs community hospital-based research opinion and insight from community hospital leadership and faculty the scholarly work of residents and medical students affiliated with community hospitals.