Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND: Perioperative myocardial injury (PMI) with different cut-off values has showed to be ass...
PURPOSE OF REVIEW: This review examines recent research on artificial intelligence focusing on machi...
Body-machine interfaces (BoMIs)-systems that control assistive devices (e.g., a robotic manipulator)...
Residents learn the vesico-urethral anastomosis (VUA), a key step in robot-assisted radical prostate...
BACKGROUND: Surgery in geriatric patients often poses risk of major postoperative complications. Acu...
Accurate instrument segmentation in the endoscopic vision of minimally invasive surgery is challengi...
BACKGROUND: Patients with hip fractures frequently need to receive perioperative transfusions of con...
Gastric cancer remains a formidable health challenge worldwide; early detection and effective surgic...
This study aimed to develop a machine learning (ML)-based tool for early and accurate prediction of ...
PURPOSE: To develop a comorbidity risk score specifically for lung resection surgeries.
BACKGROUND: Abdominoplasty is a common operation, used for a range of cosmetic and functional issues...
Postoperative ileus (POI) is a common complication after colorectal surgery, leading to increased h...
Hypertension, a widespread cardiovascular issue, presents a major global health challenge. Tradition...
Early-stage nonalcoholic fatty liver disease (NAFLD) is a silent condition, with most cases going un...
BACKGROUND: Predicting functional impairment after intracerebral hemorrhage (ICH) provides valuable ...
Liver resection is one of the best treatments for small hepatocellular carcinoma (HCC), but post-res...
BACKGROUND: Laparoscopic cholecystectomy is a very frequent surgical procedure. However, in an agein...
BACKGROUND: Cesarean section-induced postpartum hemorrhage (PPH) potentially causes anemia and hypov...
PURPOSE: Early identification of hematoma enlargement and persistent hematoma expansion (HE) in pati...
BACKGROUND: Cerebrospinal fluid (CSF) leak during endoscopic endonasal transsphenoidal surgery can l...
This study aims to develop a CT-based hybrid deep learning network to predict pathological subtypes ...