Latest AI and machine learning research in surgery for healthcare professionals.
Mitral regurgitation (MR) is the most common left-sided valvular heart disease worldwide and carries...
BACKGROUND: Endoscopic endonasal approaches (EEA) to skull base tumors are a technically challenging...
Over the past decade, the technical physician has become an important member of the orthognathic and...
OBJECTIVE: Macrotrabecular-massive (MTM+) hepatocellular carcinoma (HCC) is associated with poor pro...
Extracting anatomic reference from computed tomography (CT) images is a crucial step in fully automa...
Deviation from the intended perioperative care pathway, particularly unplanned admission after day-c...
BACKGROUND: Perioperative computed tomography (CT) imaging is essential for detecting postoperative ...
Preoperative planning is crucial in orthognathic surgery, addressing both functional and aesthetic a...
Large language models (LLMs) are increasingly being integrated into anaesthesia, perioperative medic...
To characterize applications of artificial intelligence (AI) in robot-assisted surgery, summarize te...
OBJECTIVES: To examine the predictive contributions of clinical, non-clinical and policy-related fac...
BACKGROUND: Secondary fragility fractures remain a major complication after hip fracture surgery in ...
Sarcopenia poses a significant health burden in aging populations, particularly among patients with ...
Early retear is a devastating complication following arthroscopic rotator cuff repair. The ability t...
PURPOSE: To elucidate Mistral-NeMo's proficiency as a novel artificial intelligence assistant to ver...
PURPOSE: To develop and externally validate KneeFusionNet, a multimodal deep learning model for dete...
BACKGROUND: Subarachnoid hemorrhage (SAH) disproportionately affects young adults aged 15-49Â years, ...
This study aimed to develop and validate machine learning (ML) models integrating clinical parameter...
BACKGROUND AND AIMS: Percutaneous transhepatic biliary drainage (PTBD) is a standard palliative inte...
BackgroundDifficult laparoscopic cholecystectomy (LC) remains a major contributor to bile duct injur...
OBJECTIVE: The aim of this study was to develop and validate a machine learning (ML) algorithm to pr...