Artificial intelligence-empowered cellular morphometric risk score improves prognostic stratification of cutaneous squamous cell carcinoma.

Journal: Clinical and experimental dermatology

Published Date: Jun 25, 2024

BACKGROUND: Risk stratification of cutaneous squamous cell carcinoma (cSCC) is essential for managing patients.

Manuel J Pérez-Baena

Instituto de Biología Molecular y Celular del Cáncer, Universidad de Salamanca/CSIC, Salamanca, Spain.
Jian-Hua Mao

Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
Jesus Pérez-Losada

Instituto de Biología Molecular y Celular del Cáncer, Universidad de Salamanca/Consejo Superior de Investigaciones Científicas (CSIC), Salamanca, Spain.
Ángel Santos-Briz

Instituto de Investigación Biomédica de Salamanca.
Hang Chang

Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
Javier Cañueto

Instituto de Biología Molecular y Celular del Cáncer, Universidad de Salamanca/CSIC, Salamanca, Spain.

Adult Aged Aged, 80 and over Algorithms Artificial Intelligence Carcinoma, Squamous Cell Female Humans Machine Learning Male Middle Aged Neoplasm Recurrence, Local Neoplasm Staging Predictive Value of Tests Prognosis Retrospective Studies Risk Assessment Risk Factors Skin Neoplasms

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