Department of Dermatology, Stanford University, California, USA; Department of Biomedical Data Science, Stanford University, California, USA.
J Invest Dermatol. 2022 Sep;142(9):2301-2302. doi: 10.1016/j.jid.2022.03.019. Epub 2022 May 31.
Han et al. (2022) report the first randomized, prospective clinical trial in dermatology evaluating the performance of clinicians working in collaboration with artificial intelligence (AI). This foundational work shows the limitations of AI in a real-world clinical setting and shows its potential for improving the performance of nonspecialists diagnosing skin diseases.
韩等人（2022 年）报告了皮肤科领域的首个随机、前瞻性临床试验，评估了与人工智能（AI）合作的临床医生的表现。这项基础工作展示了 AI 在真实临床环境中的局限性，并展示了其提高非专业人员皮肤病诊断能力的潜力。
Clin Dermatol. 2021
Australas J Dermatol. 2023-2
J Cutan Med Surg. 2020
Br J Dermatol. 2024-5-17
Clin Dermatol. 2024
BMJ Evid Based Med. 2025-5-20
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