Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND: Pediatric minimally invasive surgery requires advanced technical skills. Off-the-job tra...
Robot-assisted visits, as part of telemedicine, can offer doctors the opportunity to take care of p...
Segmentation and the subsequent quantitative assessment of the target object in computed tomography ...
BACKGROUND: Iatrogenic ureteral injury is a serious complication of abdominopelvic surgery. Identify...
BACKGROUND: Early predictors of postoperative complications can risk-stratify patients undergoing co...
The lack of large datasets and high-quality annotated data often limits the development of accurate ...
BACKGROUND: Laparoscopic pancreatoduodenectomy (LPD) is one of the most challenging operations and h...
BACKGROUND: With steep posterior anorectal angulation, transanal total mesorectal excision (taTME) m...
Natural swimmers and flyers can fully recover from catastrophic propulsor damage by altering stroke ...
RATIONALE AND OBJECTIVE: Stroke-associated pneumonia (SAP) often appears as a complication following...
RATIONALE AND OBJECTIVES: Surgery in combination with chemo/radiotherapy is the standard treatment f...
PURPOSE: This study aims predicting the stress level based on the ergonomic (kinematic) and physiolo...
BACKGROUND: Accurate prediction of pathologic results for early gastric cancer (EGC) based on endosc...
Neoadjuvant therapy (NAT) has become routine in patients with borderline resectable pancreatic cance...
Trainees develop surgical technical skills by learning from experts who provide context for successf...
Minimally invasive surgery, which relies on surgical robots and microscopes, demands precise image s...
BACKGROUND: The Red Imported Fire Ant (RIFA), scientifically known as Solenopsis invicta, is a destr...
OBJECTIVE: Total hip arthroplasty (THA) remains the primary treatment option for femoral neck fractu...
BACKGROUND: The introduction of ChatGPT-4V's 'Chat with images' feature represents the beginning of ...
To construct a convolutional neural network (CNN) model that can recognize and delineate anatomic s...
Presurgical evaluation with functional magnetic resonance imaging (fMRI) can reduce postsurgical mor...