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Decoding Artificial Intelligence to Achieve Diagnostic Excellence: Learning From Experts, Examples, and Experience.

作者信息

Chen Jonathan H, Dhaliwal Gurpreet, Yang Daniel

机构信息

Stanford Center for Biomedical Informatics Research, Division of Hospital Medicine, Stanford University, Stanford, California.

Department of Medicine, University of California, San Francisco.

出版信息

JAMA. 2022 Aug 23;328(8):709-710. doi: 10.1001/jama.2022.13735.

DOI:10.1001/jama.2022.13735
PMID:35913752
Abstract
摘要

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本文引用的文献

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N Engl J Med. 2019 Sep 19;381(12):1175-1179. doi: 10.1056/NEJMsb1900856.
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An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction.一种基于人工智能的心电图算法，用于在窦性心律期间识别房颤患者：对结局预测的回顾性分析。
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AI/ML-Based Medical Image Processing and Analysis.基于人工智能/机器学习的医学图像处理与分析
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iScience. 2023 Oct 10;26(11):108163. doi: 10.1016/j.isci.2023.108163. eCollection 2023 Nov 17.
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ChatGPT-Generated Differential Diagnosis Lists for Complex Case-Derived Clinical Vignettes: Diagnostic Accuracy Evaluation.基于复杂病例临床案例生成的ChatGPT鉴别诊断列表：诊断准确性评估。
JMIR Med Inform. 2023 Oct 9;11:e48808. doi: 10.2196/48808.
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Prediction of Return of Spontaneous Circulation in a Pediatric Swine Model of Cardiac Arrest Using Low-Resolution Multimodal Physiological Waveforms.使用低分辨率多模态生理波形预测小儿心搏骤停模型中的自主循环恢复。
IEEE J Biomed Health Inform. 2023 Oct;27(10):4719-4727. doi: 10.1109/JBHI.2023.3297927. Epub 2023 Oct 5.
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Diagnostic Accuracy of Differential-Diagnosis Lists Generated by Generative Pretrained Transformer 3 Chatbot for Clinical Vignettes with Common Chief Complaints: A Pilot Study.基于生成式预训练 Transformer 3 聊天机器人为常见主诉临床病例生成鉴别诊断列表的诊断准确性：一项初步研究。
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医疗保健领域强化学习指南。
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A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play.一种通过自我对弈掌握国际象棋、将棋和围棋的通用强化学习算法。
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Clinical Implications and Challenges of Artificial Intelligence and Deep Learning.人工智能与深度学习的临床意义及挑战
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JAMA. 2015 Aug 25;314(8):767-8. doi: 10.1001/jama.2015.7762.
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