Assessing the ability of an artificial intelligence chatbot to translate dermatopathology reports into patient-friendly language: A cross-sectional study

被引：6

作者：

Zhang, Yuying ^{[1
]}

Chen, Ryan ^{[1
]}

Nguyen, Dan ^{[1
]}

Choi, Stephanie ^{[1
]}

Gabel, Colleen ^{[2
]}

Leonard, Nicholas ^{[2
]}

Yim, Kaitlyn ^{[3
]}

O'Donnell, Patrick ^{[3
]}

Elaba, Zendee ^{[3
]}

Deng, April ^{[3
]}

Levin, Nikki A. ^{[1
,3
]}

机构：

[1] Univ Massachusetts, Chan Med Sch, Hahnemann Campus,281 Lincoln St, Worcester, MA 01605 USA

[2] Univ Massachusetts, Chan Med Sch, Dept Dermatol, Worcester, MA USA

[3] Univ Massachusetts, Chan Med Sch, Dept Pathol, Worcester, MA 01605 USA

来源：

关键词：

artificial intelligence; chatbot; derma-; topathology; digital health; general dermatology; patient education; technology;

D O I：

10.1016/j.jaad.2023.09.072

中图分类号：

R75 [皮肤病学与性病学];

学科分类号：

100206 ;

摘要：

[No abstract available]

引用

页码：397 / 399

页数：3

共 4 条