用电子病历让ChatGPT诊断阿尔茨海默病，准确率可期。
Can ChatGPT Diagnose Alzheimer's Disease?
- 用零样本和多样本提示法评估ChatGPT分析病历能力
- 基于9300份病历数据，展现其对阿尔茨海默病的识别潜力
- 适合医疗资源匮乏地区做早期筛查参考
阿尔茨海默病（AD）影响约1/9的65岁以上人群，严重损害记忆与认知功能。本文利用9300份包含磁共振成像（MRI）与认知测试的电子健康记录（EHRs），探究通用任务求解模型ChatGPT能否通过EHR准确检测AD。采用黑盒评估方法，对比零样本与多样本提示策略，验证其分析影像与认知数据的能力。研究揭示了ChatGPT在自动化诊断流程中的潜力，尤其在缺乏专业医生的资源有限地区具有重要意义。该方法为早期发现提供了可行路径，有助于提升患者生活质量（QoL），推动智能医疗发展。
原文摘要 · Abstract (English)
Can ChatGPT diagnose Alzheimer's Disease (AD)? AD is a devastating neurodegenerative condition that affects approximately 1 in 9 individuals aged 65 and older, profoundly impairing memory and cognitive function. This paper utilises 9300 electronic health records (EHRs) with data from Magnetic Resonance Imaging (MRI) and cognitive tests to address an intriguing question: As a general-purpose task solver, can ChatGPT accurately detect AD using EHRs? We present an in-depth evaluation of ChatGPT using a black-box approach with zero-shot and multi-shot methods. This study unlocks ChatGPT's capability to analyse MRI and cognitive test results, as well as its potential as a diagnostic tool for AD. By automating aspects of the diagnostic process, this research opens a transformative approach for the healthcare system, particularly in addressing disparities in resource-limited regions where AD specialists are scarce. Hence, it offers a foundation for a promising method for early detection, supporting individuals with timely interventions, which is paramount for Quality of Life (QoL).
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