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

Research Letter (89) Artificial Intelligence (1602) New Methods (1003) Theme Issue (2023): AI and ChatGPT in Dermatology (14) Chatbots and Conversational Agents (589) Generative Language Models Including ChatGPT (413)

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
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JMIR Dermatology: The Accuracy and Appropriateness of ChatGPT Responses on Nonmelanoma Skin Cancer Information Using Zero-Shot Chain of Thought Prompting https://t.co/lI00lgQAob https://t.co/7QyX0OH7bG

2:33 PM · Dec 14, 2023

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JMIR Dermatology JMIR Dermatology @JMIRDermatology

RT @jmirpub: JMIR Dermatology: The Accuracy and Appropriateness of ChatGPT Responses on Nonmelanoma Skin Cancer Information Using Zero-Shot…

2:34 PM · Dec 14, 2023

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