Latest AI and machine learning research in surgery for healthcare professionals.
Computer-assisted surgery research requires large, deeply annotated video datasets that capture clin...
Laparoscopic cholecystectomy is a high-volume procedure with relatively short operative times, leavi...
Artificial intelligence has emerged as a promising approach for improving the detection and manageme...
BACKGROUND: This study sought to assess large language models' (LLM) ability to generate correct ICD...
INTRODUCTION: Standard Ewing sarcoma treatment includes chemotherapy and local therapy. Previous stu...
BACKGROUND: Cardiac surgery is associated with significant mortality and complication risks. This st...
Delirium is a frequent and clinically consequential complication among patients admitted to the inte...
This study aimed to identify independent risk factors associated with poor wrist function recovery 6...
BACKGROUND: Conversational artificial intelligence (AI) tools, such as large language models and cha...
BACKGROUND: Patients undergoing surgery for bone metastases typically have advanced disease, and pos...
PURPOSE: This meta-analysis systematically evaluates machine learning (ML) applications for predicti...
Postoperative computed tomography (CT) segmentation provides invaluable information for reconstructi...
Unmanned Aerial Vehicles (UAVs) equipped with robotic manipulators have emerged as a powerful paradi...
Robotic endoscope holders improve visual stability, yet enforcing a fixed remote center of motion (R...
Skull base chordomas are rare, locally invasive tumors that remain a diagnostic and therapeutic chal...
Needle and blood-injection-injury phobia is commonly encountered in the perioperative setting. It ca...
Pipeline installation robots install pipelines on both sides of mine roadways using robotic arms; th...
Postoperative complications in oral and maxillofacial surgery (OMFS), pose a significant challenge t...
Accurate prediction of surgical case duration is essential for reducing operating room overruns and ...
Timely discharge prediction is important for surgical unit operations. Using 3,928 postoperative pat...
Digital health approaches that leverage consumer wearables and machine learning offer scalable means...