The Prediction and Treatment of Bleeding Esophageal Varices in the Artificial Intelligence Era: A Review.
| Autor: | Murillo Pineda MI; Primary Care, Universidad Católica de Honduras, Tegucigalpa, HND., Siu Xiao T; Radiology, Thomas Jefferson University Hospital, Philadelphia, USA., Sanabria Herrera EJ; General Medicine, Universidad Nacional Autónoma de Honduras, Tegucigalpa, HND., Ayala Aguilar A; General Practice, Universidad del Noreste, Tampico, MEX., Arriaga Escamilla D; Internal Medicine, Universidad Justo Sierra, Mexico City, MEX., Aleman Reyes AM; Internal Medicine, Universidad Católica de Honduras, Tegucigalpa, HND., Rojas Marron AD; General Medicine, Universidad de Oriente, Barcelona, VEN., Fabila Lievano RR; General Medicine, Universidad Justo Sierra, Mexico City, MEX., de Jesús Correa Gomez JJ; General Practice, Universidad Justo Sierra, Mexico City, MEX., Martinez Ramirez M; Internal Medicine, Universidad Nacional Autónoma de Mexico, Mexico City, MEX. |
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| Jazyk: | angličtina |
| Zdroj: | Cureus [Cureus] 2024 Mar 08; Vol. 16 (3), pp. e55786. Date of Electronic Publication: 2024 Mar 08 (Print Publication: 2024). |
| DOI: | 10.7759/cureus.55786 |
| Abstrakt: | 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. Competing Interests: The authors have declared that no competing interests exist. (Copyright © 2024, Murillo Pineda et al.) |
| Databáze: | MEDLINE |
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