Application of a natural language processing artificial intelligence tool in psoriasis: A cross-sectional comparative study on identifying affected areas in patients’ data

Author:

Shapiro Jonathan,Baum Sharon,Pavlotzky Felix,Mordehai Yaron Ben,Barzilai Aviv,Freud Tamar,Gershon Rotem

Publisher

Elsevier BV

Reference20 articles.

1. On the cusp: considering the impact of artificial intelligence language models in healthcare;Goodman;Med,2023

2. Opportunities, challenges, and future directions of generative artificial intelligence in medical education: scoping review;Preiksaitis;JMIR Med Educ,2023

3. Principles, applications, and future of artificial intelligence in dermatology;Omiye;Front Med (Lausanne),2023

4. Reynolds K, Nadelman D, Durgin J, et al. Comparing the quality of ChatGPT- and physician-generated responses to patients’ dermatologic questions in the electronic medical record. Clin Exp Dermatol, in press.

5. A qualitative analysis of provider notes of atopic dermatitis-related visits using natural language processing methods;Pierce;Dermatol Ther (Heidelb),2021

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