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The utility of ChatGPT in generating patient-facing and clinical responses for melanoma
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Published in: | Journal of the American Academy of Dermatology 2023-09, Vol.89 (3), p.602-604 |
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Main Authors: | , , , , , , |
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Language: | English |
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cites | cdi_FETCH-LOGICAL-c356t-cb1c4b0bdc2ffc6c937d0d497f71e066a8f2693212aec5ad505d1e646493975d3 |
container_end_page | 604 |
container_issue | 3 |
container_start_page | 602 |
container_title | Journal of the American Academy of Dermatology |
container_volume | 89 |
creator | Young, Jade N. Ross O'Hagan Poplausky, Dina Levoska, Melissa A. Gulati, Nicholas Ungar, Benjamin Ungar, Jonathan |
description | |
doi_str_mv | 10.1016/j.jaad.2023.05.024 |
format | article |
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ispartof | Journal of the American Academy of Dermatology, 2023-09, Vol.89 (3), p.602-604 |
issn | 0190-9622 1097-6787 |
language | eng |
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source | ScienceDirect Journals |
subjects | artificial intelligence ChatGPT language learning model melanoma |
title | The utility of ChatGPT in generating patient-facing and clinical responses for melanoma |
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