Latest AI and machine learning research in surgery for healthcare professionals.
The radial forearm flap (RFF) is widely used for microvascular reconstruction in the head and neck r...
BACKGROUND: Patients with early-stage non-small cell lung cancer (NSCLC) typically receive surgery a...
Post-hepatectomy liver failure (PHLF) is a severe complication following liver surgery. We aimed to ...
OBJECTIVE: This study aimed to develop a machine learning (ML) model integrated with SHapley Additiv...
BACKGROUND: Advancements in diagnostic and therapeutic modalities for giant cell tumors of bone (GCT...
BACKGROUND AND OBJECTIVES: Prostate cancer is the most common form of cancer in the male population....
Patients undergoing lung resection surgery (LRS) may experience various postoperative complications,...
BACKGROUND: Transvaginal insertion of polypropylene mesh was extensively used in surgical procedures...
BACKGROUND AND OBJECTIVES: Machine learning (ML) in surgical video analysis offers promising prospec...
Artificial intelligence (AI)-driven intraoperative navigation in urological surgery can enhance surg...
BACKGROUND: Clinically relevant postoperative pancreatic fistula (CR-POPF) following laparoscopic pa...
BACKGROUND: The pathophysiology of idiopathic normal pressure hydrocephalus (iNPH) remains unclear, ...
Oral implant surgery demands a high level of precision and expertise, making the integration of robo...
The use of machine learning to integrate and analyse multimodal information has broad prospects for ...
The malignant potential of pancreatic cystic lesions (PCLs) varies dramatically, leading to difficul...
BACKGROUND: Treatments for distal radius fractures (DRFs) are determined by various factors. Therefo...
Robotic ultrasound systems have the potential to improve medical diagnostics, but patient acceptance...
Ovarian cancer is associated with high rates of patient mortality and morbidity. Laparoscopic assess...
Anesthesia plays a pivotal role in modern surgery by facilitating controlled states of unconsciousne...
The principal aim of the present study was to develop and validate a nomogram predicting overall sur...
BACKGROUND: Early postoperative complication risk prediction would enhance perioperative surveillanc...