INTRODUCTION: This study was performed to investigate the preoperative factors associated with difficulty achieving trifecta in robot-assisted partial nephrectomy for clinical T1b renal cell carcinoma.
Complexity of inflammatory bowel diseases (IBD) lies on their management and their biology. Clinics, blood and fecal samples tests, endoscopy and histology are the main tools guiding IBD treatment, but they generate a large amount of data, difficult ...
BACKGROUND: Prostatic utricle (PU) with normal external genitalia is an uncommon congenital anomaly. About 14% develop epididymitis. This rare presentation should warn involvement of the ejaculatory ducts. Minimally invasive robot-assisted utricle re...
Recent research in transport safety focuses on the processing of large amounts of available data by means of intelligent systems, in order to decrease the number of accidents for transportation users. Several Machine Learning (ML) and Artificial Inte...
BACKGROUND: Indigenous peoples often have higher rates of morbidity and mortality associated with cardiometabolic disease (CMD) than non-Indigenous people and this may be even more so in urban areas. The use of electronic health records and expansion...
Innovation of robotic surgery is still actively growing, and various novel robotic systems are in the process of development. The objective of this study was to assess the perioperative outcomes of robot-assisted partial nephrectomy (RAPN) using the...
Journal of the American Heart Association
Mar 28, 2023
Background Statins are guideline-recommended medications that reduce cardiovascular events in patients with diabetes. Yet, statin use is concerningly low in this high-risk population. Identifying reasons for statin nonuse, which are typically describ...
BACKGROUND: Identifying individuals at risk for severe mental illness (SMI) is crucial for prevention and early intervention strategies. While MRI shows potential for case identification even before illness onset, no practical model for mental health...
Three-dimensional (3D) pose estimation has been widely used in many three-dimensional human motion analysis applications, where inertia-based path estimation is gradually being adopted. Systems based on commercial inertial measurement units (IMUs) us...
BACKGROUND: High-throughput and selective detection of organelles in immunofluorescence images is an important but demanding task in cell biology. The centriole organelle is critical for fundamental cellular processes, and its accurate detection is k...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.