Clinics and research in hepatology and gastroenterology
Nov 30, 2024
BACKGROUND AND OBJECTIVES: Deep learning (DL) algorithms demonstrate excellent diagnostic performance for the detection of vascular lesions via small bowel (SB) capsule endoscopy (CE), including vascular abnormalities with high (P2), intermediate (P1...
Clinics and research in hepatology and gastroenterology
Nov 30, 2024
OBJECTIVE: Critically ill patients with liver cirrhosis generally have a poor prognosis due to complications such as multiple organ failure. This study aims to develop a machine learning-based prediction model to forecast short-term mortality in crit...
Clinics and research in hepatology and gastroenterology
Apr 4, 2024
BACKGROUND: In order to overcome the challenges of lesion detection in capsule endoscopy (CE), we improved the YOLOv5-based deep learning algorithm and established the CE-YOLOv5 algorithm to identify small bowel lesions captured by CE.
Clinics and research in hepatology and gastroenterology
Jul 15, 2023
PURPOSE: To compare the efficacy of robot-assisted colorectal surgery (RACS) vs. laparoscopic-assisted colorectal surgery (LACS) in the treatment of colorectal cancer (CRC).
Clinics and research in hepatology and gastroenterology
Dec 7, 2022
The current "Gold Standard" colorectal cancer (CRC) screening approach of faecal occult blood test (FOBT) with follow-up colonoscopy has been shown to significantly improve morbidity and mortality, by enabling the early detection of disease. However,...