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

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.

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Publication Details

Journal
JAMA Dermatology
Published
2025-06-11
DOI
https://doi.org/10.1001/jamadermatol.2025.1601
Primary Topic
Nonmelanoma Skin Cancer Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

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

William Lotter, Emily S. Ruiz
JAMA Dermatology
Nonmelanoma Skin Cancer Studies
article

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

William Lotter, Emily S. Ruiz
article en

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.

JAMA DermatologyVol. 161(8)
Brigham and Women's Hospital (US), Dana-Farber Cancer Institute (US)
Openalex Percentile: Top 81%
Nonmelanoma Skin Cancer Studies
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Prognostication System for Squamous Cell Carcinoma Using Retrieval Augmented Generation–Enabled Large Language Model — William Lotter, Emily S. Ruiz · JAMA Dermatology (2025) | TGRS Research Map | TGRS