Latest AI and machine learning research in surgery for healthcare professionals.
Multi-View Photometric Stereo (MVPS) is a popular method for fine-detailed 3D acquisition of an ob...
Automated colonoscopy reporting holds great potential for enhancing quality control and improving ...
Automating surgical systems enhances precision and safety while reducing human involvement in high...
The bicuspid aortic valve (BAV) is the most prevalent congenital heart defect and may require surg...
In systems control, the dynamics of a system are governed by modulating its inputs to achieve a de...
Vision-language models (VLMs) have achieved remarkable success in scene understanding and percepti...
Purpose: Foundation models, trained on multitudes of public datasets, often require additional fin...
Automated analysis of surgical videos is crucial for improving surgical training, workflow optimiz...
Surgical simulation offers a promising addition to conventional surgical training. However, availa...
Prostate cancer is a leading health concern among men, requiring accurate and accessible methods f...
This study aims to advance surgical phase recognition in arthroscopic procedures, specifically Ant...
Purpose: Laparoscopic cholecystectomy (LC) operative difficulty (LCOD) is highly variable and infl...
Indexing endoscopic surgical videos is vital in surgical data science, forming the basis for syste...
In laparoscopy surgical training and evaluation, real-time detection of surgical actions with inte...
Recent deep learning-based image completion methods, including both inpainting and outpainting, ha...
Medical ultrasound has been widely used to examine vascular structure in modern clinical practice....
BACKGROUND: Patients with early-stage hepatocellular carcinoma (HCC) generally have good survival ra...
Referral workflow inefficiencies, including misaligned referrals and delays, contribute to subopti...
This project aims to compare various language classification procedures, procedures combining vari...
Imitation learning and world models have shown significant promise in advancing generalizable robo...
The integration of language instructions with robotic control, particularly through Vision Languag...