Latest AI and machine learning research in peptic ulcer disease for healthcare professionals.
The prediction of protein complexes based on the protein interaction network is a fundamental task f...
BACKGROUND AND AIMS: Although erosions and ulcerations are the most common small-bowel abnormalities...
Warfarin dosing remains challenging due to narrow therapeutic index and highly individual variabilit...
IMPORTANCE: To improve patient safety, health care systems need reliable methods to detect adverse e...
Deep learning has emerged as a powerful artificial intelligence tool to interpret medical images for...
OBJECTIVE: Artificial neural networks (ANNs) and classification and regression trees (CARTs) have be...
It is well known that essential proteins play an extremely important role in controlling cellular ac...
STUDY OBJECTIVES: The potential of a remotely controlled mandibular positioner (RCMP) during sleep s...
Osteoarthritis (OA) is one of the most common diseases worldwide, but the pathogenic genes and pathw...
A novel computer-aided detection method based on deep learning framework was proposed to detect smal...
Gene expression data using retrieved ovarian cancer (OC) samples were used to identify genes of inte...
Machine learning based predictions of protein⁻protein interactions (PPIs) could provide valuable ins...
BACKGROUND: There is limited consensus regarding risk factors for postoperative bleeding. The object...
BACKGROUND AND AIMS: GI angiectasia (GIA) is the most common small-bowel (SB) vascular lesion, with ...
Robotic endoscopic systems offer a minimally invasive approach to the examination of internal body s...
Von Willebrand disease (VWD) is a bleeding disorder that results from decreased von Willebrand facto...
Asthma, the most common chronic respiratory tract disease in children, is characterized by allergy, ...
Colorectal cancer is the fourth leading cause of cancer deaths worldwide and the second leading caus...
Predicting the protein-protein interactions (PPIs) has played an important role in many applications...
To realize the full potential of deep learning for medical imaging, large annotated datasets are req...
BACKGROUND: Link prediction in biomedical graphs has several important applications including predic...