Work

Prognostication System for Squamous Cell Carcinoma Using Retrieval Augmented Generation–Enabled Large Language Model

Year: 2025

Type: editorial

Abstract: This Editorial discusses a novel risk stratification system for cutaneous squamous cell carcinoma that was developed using a retrieval augmented generation–enabled large language model.

Source: JAMA Dermatology

DOI: 10.1001/jamadermatol.2025.1601

Authors: Emily S. Ruiz, William Lotter

Institutions: Brigham and Women's Hospital, Dana-Farber Cancer Institute

Language: English

Topic: Nonmelanoma Skin Cancer Studies

Subfield: Epidemiology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funder: National Institute of Biomedical Imaging and Bioengineering

Award: G3557214928

OpenAlex ID: W4411208988

Cites: 12

Cited by:

Related to: 10