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

Journals

  1. Karampinis E, Toli O, Georgopoulou K, Kampra E, Spyridonidou C, Roussaki Schulze A, Zafiriou E. Can Artificial Intelligence “Hold” a Dermoscope?—The Evaluation of an Artificial Intelligence Chatbot to Translate the Dermoscopic Language. Diagnostics 2024;14(11):1165 View