The efficiency of artificial intelligence for management and clinical decision-making in the identification of patients with hidden HCV infection (Intelligen-C strategy).

Journal: Gastroenterologia y hepatologia

Published Date: Jan 18, 2025

Abstract

INTRODUCTION: Artificial intelligence (AI) allows the optimization of diagnostic processes for hepatitis C virus (HCV) patients. Our objective was to evaluate the clinical, economic, and management benefits of an AI-based clinical decision support system (Intelligen-C strategy).

Authors

José Luis Castro Urda

Servicio Digestivo, Hospital Universitario Severo Ochoa, Leganés, Spain.
Marta Álvarez

Servicio Digestivo, Hospital Universitario Severo Ochoa, Leganés, Spain.
Helena Cantero

Gilead Sciences, Spain.
Victoria Ayala

Gilead Sciences, Spain.
Marta Vázquez

Gilead Sciences, Spain.
Javier Castro

CGM Clinical España, Spain.
Laura Salinas-Ortega

Pharmacoeconomics & Outcomes Research Iberia (PORIB), Madrid, Spain.
Raquel Domínguez-Hernández

Pharmacoeconomics & Outcomes Research Iberia (PORIB), Madrid, Spain. Electronic address: rdominguez@porib.com.

Keywords

Adult Aged Artificial Intelligence Clinical Decision-Making Decision Support Systems, Clinical Female Hepacivirus Hepatitis C Humans Male Middle Aged Prospective Studies Retrospective Studies RNA, Viral

External Resources

View on PubMed Access via DOI PubMed (39832534)

The efficiency of artificial intelligence for management and clinical decision-making in the identification of patients with hidden HCV infection (Intelligen-C strategy).

Abstract

Authors

Keywords

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