%0 Journal Article
%T The Prediction and Treatment of Bleeding Esophageal Varices in the Artificial Intelligence Era: A Review.
%A Murillo Pineda MI
%A Siu Xiao T
%A Sanabria Herrera EJ
%A Ayala Aguilar A
%A Arriaga Escamilla D
%A Aleman Reyes AM
%A Rojas Marron AD
%A Fabila Lievano RR
%A de Jesús Correa Gomez JJ
%A Martinez Ramirez M
%J Cureus
%V 16
%N 3
%D 2024 Mar
%M 38586705
暂无%R 10.7759/cureus.55786
%X Esophageal varices (EVs), a significant complication of cirrhosis, present a considerable challenge in clinical practice due to their high risk of bleeding and associated morbidity and mortality. This manuscript explores the transformative role of artificial intelligence (AI) in the management of EV, particularly in enhancing diagnostic accuracy and predicting bleeding risks. It underscores the potential of AI in offering noninvasive, efficient alternatives to traditional diagnostic methods such as esophagogastroduodenoscopy (EGD). The complexity of EV management is highlighted, necessitating a multidisciplinary approach that includes pharmacological therapy, endoscopic interventions, and, in some cases, surgical options tailored to individual patient profiles. Additionally, the paper emphasizes the importance of integrating AI into medical education and practice, preparing healthcare professionals for the evolving landscape of medical technology. It projects a future where AI significantly influences the management of gastrointestinal bleeding, improving clinical decision-making, patient outcomes, and overall healthcare efficiency. The study advocates for a patient-centered approach in healthcare, balancing the incorporation of innovative technologies with ethical principles and the diverse needs of patients to optimize treatment efficacy and enhance healthcare accessibility.