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The Role of Artificial Intelligence in the Detection and Implementation of Biomarkers for Hepatocellular Carcinoma: Outlook and Opportunities.
Mansur, Arian; Vrionis, Andrea; Charles, Jonathan P; Hancel, Kayesha; Panagides, John C; Moloudi, Farzad; Iqbal, Shams; Daye, Dania.
Afiliação
  • Mansur A; Harvard Medical School, Boston, MA 02115, USA.
  • Vrionis A; Morsani College of Medicine, University of South Florida Health, Tampa, FL 33602, USA.
  • Charles JP; Morsani College of Medicine, University of South Florida Health, Tampa, FL 33602, USA.
  • Hancel K; Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA.
  • Panagides JC; Harvard Medical School, Boston, MA 02115, USA.
  • Moloudi F; Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA.
  • Iqbal S; Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA.
  • Daye D; Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA.
Cancers (Basel) ; 15(11)2023 May 26.
Article em En | MEDLINE | ID: mdl-37296890
Liver cancer is a leading cause of cancer-related death worldwide, and its early detection and treatment are crucial for improving morbidity and mortality. Biomarkers have the potential to facilitate the early diagnosis and management of liver cancer, but identifying and implementing effective biomarkers remains a major challenge. In recent years, artificial intelligence has emerged as a promising tool in the cancer sphere, and recent literature suggests that it is very promising in facilitating biomarker use in liver cancer. This review provides an overview of the status of AI-based biomarker research in liver cancer, with a focus on the detection and implementation of biomarkers for risk prediction, diagnosis, staging, prognostication, prediction of treatment response, and recurrence of liver cancers.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Cancers (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Cancers (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos