This paper is in the following e-collection/theme issue:

Research Letter (84) Artificial Intelligence (1371) New Methods (944) Theme Issue (2023): AI and ChatGPT in Dermatology (13) Chatbots and Conversational Agents (531) Generative Language Models Including ChatGPT (311)

Published on in Vol 6 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49889, first published .
The Accuracy and Appropriateness of ChatGPT Responses on Nonmelanoma Skin Cancer Information Using Zero-Shot Chain of Thought Prompting

The Accuracy and Appropriateness of ChatGPT Responses on Nonmelanoma Skin Cancer Information Using Zero-Shot Chain of Thought Prompting

The Accuracy and Appropriateness of ChatGPT Responses on Nonmelanoma Skin Cancer Information Using Zero-Shot Chain of Thought Prompting

Authors of this article:

Ross O'Hagan1 Author Orcid Image ;   Dina Poplausky1 Author Orcid Image ;   Jade N Young1 Author Orcid Image ;   Nicholas Gulati1 Author Orcid Image ;   Melissa Levoska1 Author Orcid Image ;   Benjamin Ungar1 Author Orcid Image ;   Jonathan Ungar1 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Ross O'Hagan   1 , MD ;   Dina Poplausky   1 , BA ;   Jade N Young   1 , BS ;   Nicholas Gulati   1 , MD, PhD ;   Melissa Levoska   1 , MD ;   Benjamin Ungar   1 , MD ;   Jonathan Ungar   1 , MD

1 Department of Dermatology, Icahn School of Medicine at Mount Sinai, New York, NY, United States

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