Oana Irina GAVRIL1,2, Irina Mihaela ESANU1,2, Radu Sebastian GAVRIL1,3, Vasile SARBU4,5, Florin MITU1,3,4,5
Abstract. Artificial intelligence (AI) is revolutionizing gastrointestinal disease management by improving diagnostic accuracy, enabling early detection, and supporting personalized treatment strategies. AI-powered algorithms in endoscopy have demonstrated remarkable success in real-time detection of polyps and precancerous lesions, significantly reducing missed diagnosis rates. Machine learning models analyze complex datasets from imaging, histopathology, and clinical records to predict disease progression in conditions such as inflammatory bowel disease and liver disorders. These predictive tools support clinicians in tailoring interventions, optimizing patient outcomes, and reducing healthcare costs. Moreover, AI-based decision-support systems assist in workflow automation, risk stratification, and treatment planning, enhancing efficiency across gastroenterological practice. Despite these advances, challenges persist regarding data standardization, model validation, and ethical considerations like patient privacy and algorithm transparency. In conclusion, AI tools hold great promise for transforming gastrointestinal disease management, bridging technology and clinical practice to deliver more precise, efficient, and patient-centered care.
Keywords: artificial intelligence, gastroenterology, early diagnosis, personalized treatment, machine learning.
DOI 10.56082/annalsarscimed.2025.2.17
1“Grigore T. Popa” University of Medicine and Pharmacy, Iasi, Romania
2Clinical C.F. Hospital, Iasi, Romania
3Clinical Rehabilitation Hospital, Iasi, Romania
4Academy of Romanian Scientists
5Academy of Medical Sciences
Correspondence to: Irina Mihaela ESANU, Department of Medical Specialties I, “Grigore T. Popa” University of Medicine and Pharmacy, Iasi, Romania; email: esanu1925@gmail.com
PUBLISHED in Annals of the Academy of Romanian Scientists Series of Medicine, Volume 6, Issue 2