Latest AI and machine learning research in surgery for healthcare professionals.
This study aimed to construct machine learning models and predict prolonged intensive care units (IC...
Liquid biopsy techniques have developed rapidly in recent years and demonstrated success in cancer d...
BACKGROUND: The preservation of the pelvic autonomic nervous system in total mesorectal excision rem...
PURPOSE: This study aimed to evaluate the impact of Robotic-Assisted Total Hip Arthroplasty (RATHA) ...
INTRODUCTION: Although single-stage bilateral total knee arthroplasty (BTKA) presents several advant...
BACKGROUND: Operating room efficiency is of paramount importance for scheduling, cost efficiency, an...
BACKGROUND: Hepato-Pancreato-Biliary (HPB) surgery is a complex specialty and Artificial Intelligenc...
OBJECTIVE: The prognostic significance of body composition phenotypes for survival in patients under...
INTRODUCTION: As surgical accessibility improves, the incidence of postoperative complications is ex...
PURPOSE: The suprascapular nerve is situated between the prevertebral fascia and the superficial lay...
BACKGROUND: Cystic echinococcosis (CE) is a significant public health issue, primarily affecting the...
Focal lesions of the human neocortex often cause drug-resistant epilepsy, yet ​surgical resection of...
BackgroundProprioceptive neuromuscular facilitation (PNF) alone has limited effectiveness in restori...
For leg prosthesis user, the soft tissue and skin under the stump of are not accustomed to weight be...
The depth of invasion plays a critical role in predicting the prognosis of early esophageal cancer, ...
BACKGROUND: We sought to define textbook outcome in liver surgery (TOLS) for intrahepatic cholangioc...
BACKGROUND: The safe timing window for surgery during the acute phase of inflammation due to traumat...
PURPOSE: Balancing surgical margins and functional outcomes is crucial during radical prostatectomy ...
Accurate tool tracking is essential for the success of computer-assisted intervention. Previous effo...
OBJECTIVE: This study aims to develop an interpretable machine learning (ML) predictive model to ass...
PURPOSE: Meningiomas are the most common primary brain tumour and account for over one-third of case...