Latest AI and machine learning research in surgery for healthcare professionals.
Artificial intelligence (AI) and digital health (DH) solutions are reshaping musculoskeletal (MSK) c...
Robotic-assisted surgery is now well-established in spine surgery and total joint arthroplasty, but ...
BACKGROUND & AIMS: Deep vein thrombosis, a common complication after laparoscopic surgery, can negat...
Counseling patients who are considering a trial of labor after cesarean (TOLAC) is a challenging tas...
BACKGROUND: Currently, there remains a critical need for reliable tools to accurately predict post-s...
With the advancement of deep learning, robotic grasping has seen widespread application in fields, b...
Large language models (LLMs) offer potential applications across medical specialties; in spine surge...
BACKGROUND: Research on the associations between the stress hyperglycemia ratio (SHR) and adverse ou...
The rapid advancement of the 5G technology is catalyzing a paradigm shift in the realm of remote sur...
Early detection of atrial fibrillation (AFib) is crucial for altering its natural progression and co...
Permanent prostate brachytherapy has inherent intraoperative organ deformation due to the inflatable...
Artificial intelligence (AI) presents new opportunities to advance value-based healthcare in orthope...
INTRODUCTION: Artificial intelligence (AI) is rapidly transforming healthcare, with increasing appli...
Spontaneous resorption of lumbar disk herniation (LDH) presents a promising avenue for the non-surgi...
In recent years,immunotherapy,particularly immune checkpoint inhibitors,has been widely used in the ...
IMPORTANCE: Traditional methods of surgical decision making heavily rely on human experience and pro...
: Surgical pathology of tubo-ovarian and peritoneal cancer carries a well-recognised diagnostic work...
Early prediction of acute respiratory distress syndrome (ARDS) after liver transplantation (LT) faci...
Surgical techniques and technology for cervical spondylotic myelopathy (CSM) have demonstrated remar...
PURPOSE: Distal radius fractures (DRFs) represent up to 20% of the fractures in the emergency depart...
This study developed a machine learning (ML) model combining clinical and radiomic features to predi...