Artificial intelligence–derived dermatology case reports are indistinguishable from those written by humans: A single-blinded observer study - 15/07/23
Doi : 10.1016/j.jaad.2023.04.005
Charles Dunn, MD a, ⁎ 
, Jacob Hunter, MS b, William Steffes, MD a, Zackary Whitney, DO a, Michael Foss, DO a, Jere Mammino, DO a, Adam Leavitt, MD a, Spencer D. Hawkins, MD c, Alexander Dane, DO a, Martin Yungmann, DO a, Rajiv Nathoo, MD a
, Jacob Hunter, MS b, William Steffes, MD a, Zackary Whitney, DO a, Michael Foss, DO a, Jere Mammino, DO a, Adam Leavitt, MD a, Spencer D. Hawkins, MD c, Alexander Dane, DO a, Martin Yungmann, DO a, Rajiv Nathoo, MD a a Department of Dermatology, KCU – GME/ADCS Consortium, Maitland, Florida
b Department of Scholarly Activity, Kansas City University, Kansas City, Missouri
c Deparment of Dermatology, Advanced Dermatology & Cosmetic Surgery, East Greenwich, Rhode Island
∗Correspondence and reprint requests to: Charles Dunn, MD, Department of Dermatology, Kansas City University - Graduate Medical Education/Advanced Dermatology and Cosmetic Surgery Consortium (KCU - GME/ADCS Consortium), 151 Southhall Lane, Suite 300, Maitland, FL 32751Department of DermatologyKansas City University - Graduate Medical Education/Advanced Dermatology and Cosmetic Surgery Consortium (KCU - GME/ADCS Consortium)151 Southhall LaneSuite 300MaitlandFL32751
Key words : artificial intelligence, case reports, ChatGPT, large language models, machine learning, medical writing
| Funding sources: None. |
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| Disclosures: This article was not written by artificial intelligence. |
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| IRB approval status: Reviewed and approved by Kansas City University IRB; # 2020885-1. |
© 2023
American Academy of Dermatology, Inc.. Publié par Elsevier Masson SAS. Tous droits réservés.
Vol 89 - N° 2
P. 388-390 - août 2023 Retour au numéro
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