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Research Progress in Artificial Intelligence for Diagnosis, Prediction of Recurrence and Prognosis in Hepatocellular Carcinoma / 中山大学学报(医学科学版)
Journal of Sun Yat-sen University(Medical Sciences) ; (6): 903-909, 2023.
Artigo em Chinês | WPRIM | ID: wpr-998980
ABSTRACT
With the rapid development of artificial intelligence (AI) technology in the field of medicine, AI models show great potential in the diagnosisprognosis and efficacy prediction of hepatocellular carcinoma (HCC). AI techniques include computational search algorithmsmachine learning (ML) and deep learning (DL) models. Based on histopathology, radiomics and related molecular markers, the ML or DL algorithm is used to extract key information and then establish the diagnosis or prediction model, which may serve as a tool to aid in clinical decision-making. Further technical support, large-scale clinical validation and regulatory approvals are still needed due to the limitations on the application of AI models. This review summarizes the advances of AI in HC diagnosis, prediction of recurrence and prognosis, and highlights the radiomics, histopathology and molecular marker data.

Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Idioma: Chinês Revista: Journal of Sun Yat-sen University(Medical Sciences) Ano de publicação: 2023 Tipo de documento: Artigo

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Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Idioma: Chinês Revista: Journal of Sun Yat-sen University(Medical Sciences) Ano de publicação: 2023 Tipo de documento: Artigo