References
Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, Thrun S (2017) Dermatologist-level classification of skin cancer with deep neural networks. Nature 542(7639):115–118
Liu X, Faes L, Kale AU, Wagner SK, Fu DJ, Bruynseels A, Denniston AK (2019) A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis. Lancet Digit Health 1(6):e271–e297
Wartman SA, Combs CD (2018) Medical education must move from the information age to the age of artificial intelligence. Acad Med 93(8):1107–1109
Topol E (2019) Deep medicine: how artificial intelligence can make healthcare human again. Basic Books
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
H. Castro declares that he has no competing interests.
For this article no studies with human participants or animals were performed by any of the authors. All studies mentioned were in accordance with the ethical standards indicated in each case.
Additional information
Redaktion
Natalia Kirsten, Hamburg
Alexander Zink, München
Scan QR code & read article online
Rights and permissions
About this article
Cite this article
Castro, H. ChatGPT-4: dermatology aid in the emergency room. Dermatologie 74, 633–634 (2023). https://doi.org/10.1007/s00105-023-05186-7
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00105-023-05186-7