The Prediction and Treatment of Bleeding Esophageal Varices in the Artificial Intelligence Era: A Review

The Prediction and Treatment of Bleeding Esophageal Varices in the Artificial Intelligence Era: A Review

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...

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Bibliographic Details
Published in:Curēus (Palo Alto, CA) Vol. 16; no. 3; p. e55786
Main Authors: Murillo Pineda, María Isabel, Siu Xiao, Tania, Sanabria Herrera, Edgar J, Ayala Aguilar, Alberto, Arriaga Escamilla, David, Aleman Reyes, Alejandra M, Rojas Marron, Andreina D, Fabila Lievano, Roberto R, de Jesús Correa Gomez, Jessica J, Martinez Ramirez, Marily
Format: Journal Article
Language:English
Published: United States Cureus Inc 08-03-2024
Cureus
Subjects:
Artificial intelligence
Biomarkers
Clinical medicine
Clinical significance
Emergency medical care
Endoscopy
Epidemiology/Public Health
Esophagus
Gastroenterology
Hypertension
Internal Medicine
Liver cirrhosis
Liver diseases
Machine learning
Mortality
Nitric oxide
Patients
Ultrasonic imaging
Veins & arteries
United States > US
esophageal varices
esophagogastroduodenoscopy
artificial intelligence
cirrhosis
hemorrhagic
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Summary: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.
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ISSN:2168-8184
2168-8184
DOI:10.7759/cureus.55786