ChatGPT-4: dermatology aid in the emergency room

Envision a scenario in an emergency room (ER) where a clinician could capture a picture of a skin condition, subject to patient consent and adherence to privacy norms set by HIPAA and GDPR, and utilize AI, like ChatGPT‑4, to suggest differential diagnoses. Accuracy: AI could analyze vast amounts of...

Full description

Saved in:
Bibliographic Details
Published inDermatologie (Heidelberg, Germany) Vol. 74; no. 8; pp. 633 - 634
Main Author Castro, Harvey
Format Journal Article
LanguageEnglish
Published Heidelberg Springer Medizin 01.08.2023
Springer Nature B.V
Subjects
Allergology
Dermatology
Immunology
Medicine
Medicine & Public Health
NIM: Neue Ideen für die Medizin
Proctology
Online AccessGet full text
ISSN2731-7005
2731-7013
2731-7013
DOI10.1007/s00105-023-05186-7

Cover

More Information
Summary:Envision a scenario in an emergency room (ER) where a clinician could capture a picture of a skin condition, subject to patient consent and adherence to privacy norms set by HIPAA and GDPR, and utilize AI, like ChatGPT‑4, to suggest differential diagnoses. Accuracy: AI could analyze vast amounts of data, potentially identifying rare conditions that a human practitioner might miss. A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:2731-7005
2731-7013
2731-7013
DOI:10.1007/s00105-023-05186-7