Evaluating AI in Mohs Surgery Post-Operative Questions Supplemental Table 1

Name: Evaluating AI in Mohs Surgery Post-Operative Questions Supplemental Table 1
Creator: Northwestern University; Oregon Health & Science University; Washington University School of Medicine in St. Louis; University of Wisconsin System; Mayo Clinic Health System; Brigham and Women's Hospital; University of California San Francisco
Published: 2026-04-09T12:27:13+08:00

Mendeley Data2026-04-09 收录

AI医疗

手术评估

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https://data.mendeley.com/datasets/kxwzmgx62v/2 数据链接链接失效反馈

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Supplementary Table 1. Summary of reviewer-flagged deficiencies by AI model. Eight Mohs surgeons reviewed 36 responses (12 questions × 3 models) and flagged deficiencies using pre-specified categories. Multiple deficiencies could be flagged per response. LLaMA 4 accounted for the highest number of omissions and ambiguous guidance. Total counts per model and category are shown.

补充表1. AI模型审阅标记缺陷汇总。8名莫氏外科医师（Mohs surgeon）审阅了36份回复（12个问题×3个模型），并按照预先设定的类别标记缺陷。每份回复可标记多项缺陷。LLaMA 4的遗漏与指引模糊问题数量最多。各模型及各类别的总计数已列明。

提供机构：

Northwestern University; Oregon Health & Science University; Washington University School of Medicine in St. Louis; University of Wisconsin System; Mayo Clinic Health System; Brigham and Women's Hospital; University of California San Francisco

Evaluating AI in Mohs Surgery Post-Operative Questions Supplemental Table 1

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