医学
医学诊断
葡萄膜炎
聊天机器人
诊断准确性
验光服务
眼科
儿科
医学物理学
人工智能
病理
放射科
计算机科学
作者
William Rojas‐Carabali,Carlos Cifuentes‐González,Xin Wei,Ikhwanuliman Putera,Alok Sen,Zheng Xian Thng,Rajdeep Agrawal,Tobias Elze,Lucia Sobrin,John H. Kempen,Bernett Lee,Jyotirmay Biswas,Quan Dong Nguyen,Vishali Gupta,Alejandra de‐la‐Torre,Rupesh Agrawal
标识
DOI：10.1080/09273948.2023.2253471
摘要
Accurate diagnosis and timely management are vital for favorable uveitis outcomes. Artificial Intelligence (AI) holds promise in medical decision-making, particularly in ophthalmology. Yet, the diagnostic precision and management advice from AI-based uveitis chatbots lack assessment.
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