Artificial intelligence-derived dermatology case reports are indistinguishable from those written by humans: A single-blinded observer study.

Journal: Journal of the American Academy of Dermatology
Published Date:

Abstract

No abstract available for this article.

Authors

  • Charles Dunn
    Department of Dermatology, KCU - GME/ADCS Consortium, Maitland, Florida. Electronic address: DrCDunn@ADCSClinics.com.
  • Jacob Hunter
    Department of Scholarly Activity, Kansas City University, Kansas City, Missouri.
  • William Steffes
    Department of Dermatology, KCU - GME/ADCS Consortium, Maitland, Florida.
  • Zackary Whitney
    Department of Dermatology, KCU - GME/ADCS Consortium, Maitland, Florida.
  • Michael Foss
    Department of Dermatology, KCU - GME/ADCS Consortium, Maitland, Florida.
  • Jere Mammino
    Department of Dermatology, KCU - GME/ADCS Consortium, Maitland, Florida.
  • Adam Leavitt
    Department of Dermatology, KCU - GME/ADCS Consortium, Maitland, Florida.
  • Spencer D Hawkins
    Deparment of Dermatology, Advanced Dermatology & Cosmetic Surgery, East Greenwich, Rhode Island.
  • Alexander Dane
    Department of Dermatology, KCU - GME/ADCS Consortium, Maitland, Florida.
  • Martin Yungmann
    Department of Dermatology, KCU - GME/ADCS Consortium, Maitland, Florida.
  • Rajiv Nathoo
    Department of Dermatology, KCU - GME/ADCS Consortium, Maitland, Florida.