Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND: Deep learning methods have made great progress in the automatic segmentation of nasophar...
We aimed to explore the predictive role of radiomic features of body compositions in the occurrence ...
BACKGROUND: Postoperative gastrointestinal (GI) bleeding is a serious complication after hip fractur...
OBJECTIVE: Surgical procedures involving varying tissue depths present challenges to surgeons regard...
Across surgical specialties, minimally invasive (laparoscopic) surgery has become a standard techniq...
Tactile feedback in robot-assisted minimally invasive surgery (RAMIS) is crucial for surgeons when p...
OBJECTIVE: To address the limitations of traditional CT-guided pulmonary nodule interventions, such ...
PURPOSE: To evaluate feasibility and safety of robot-assisted subretinal injections through attached...
BACKGROUND: Facial paralysis rehabilitation has progressed substantially over the past two decades, ...
Purpose To develop and validate a deep learning model integrating tumor and visceral adipose tissue ...
BACKGROUND: Long-term opioid therapy (LTOT) after hip fracture surgery is a common postoperative com...
PURPOSE: This study presents a system that automatically predicts the difficulty of laparoscopic tot...
BACKGROUND: Widespread adoption of artificial intelligence into surgical care heavily depends on cli...
BACKGROUND: Perioperative anticoagulant management is critical because of the competing risks of isc...
BACKGROUND: Carpal tunnel syndrome (CTS) is the most common entrapment neuropathy of the hand. While...
INTRODUCTION: Precise intraocular lens (IOL) positioning is critical for optimal visual outcomes in ...
BACKGROUND: Postoperative delirium (POD) is a common and severe complication in older adult patients...
BACKGROUND: Artificial intelligence has previously demonstrated the capability to interpret cervical...
Existing methods of grading atelectasis are typically subjective and not scalable. We aimed to devel...
Synthetic data generation across domains can bridge gaps between visual training, skill development,...
BACKGROUND: Distinguishing malignant from benign pulmonary nodules remained a significant clinical c...