송현직 교수

Aims Since the introduction of computer vision technology using Deep-learning, various acceptable results have been reported for the recognition of small bowel pathologies in capsule endoscopy. However, the results are limitedly dealt with lesions such as erosions, ulcers, and angioectasia, which are easy to apply machine learning technologies. We classified capsule endoscopy images into those with and without significant lesions, and studied whether artificial intelligence, which learned the im

Advancing age is a well-known risk factor for Clostridium difficile infection (CDI). However, age-specific clinical differences in CDI are uncertain. A retrospective comparative analysis was performed based on age in 1367 patients with CDI in Korea. Most clinical features were similar in the two age groups studied, however malignancy was more common in the older group (age ≥ 65 y) (p < 0.001), while chemotherapy and transplantation were more common in the younger group (age < 65 y) (p < 0.001).