Latest AI and machine learning research in surgery for healthcare professionals.
Wildfire fine particulate matter (PM2.5) is an emerging health concern, yet its effects on mosquito-borne diseases, particularly dengue, remain unclear. Brazil faces one of the world's highest dengue burdens alongside frequent wildfires. We examined the association between short-term wildfire-specific PM2.5 exposure and dengue-related hospitalizations across Brazil. We conducted a nationwide two-s...
BACKGROUND AND OBJECTIVES: Deep brain stimulation (DBS) is an effective treatment of essential tremor, but the optimal target and how to reach it with the best accuracy remain controversial. The OptimDBS algorithm is based on Kernel Ridge Regression and was trained on a database of patients who underwent DBS with optimal postoperative outcomes. Using 3-dimensional T1-weighted MRI as the only input...
BACKGROUND: Predicting prolonged intensive care unit (ICU) length of stay (LOS) remains challenging, and traditional statistical models often fail to ...
PURPOSE OF REVIEW: Moyamoya vasculopathy is a progressive cerebrovascular steno-occlusive disease with variable presentation. As revascularization tec...
The growth of the digital age has corresponded with decreased operative experience and concern for low readiness for practice among surgical trainees,...
OBJECTIVE: Primary aim was to investigate the effects of upper extremity robot-assisted training, applied in addition to conventional rehabilitation p...
BACKGROUND: Laparoscopic cholecystectomy (LC), a common abdominal operation, is associated with significant morbidity, particularly bile duct injury. ...
BACKGROUND: Postoperative delirium (POD) is a prevalent complication in elderly surgical patients. It is associated with long-term cognitive impairmen...
BACKGROUND: Accurate pathological classification of lung cancer is essential for informing treatment strategies. However, invasive biopsy procedures a...
PURPOSE OF REVIEW: This review describes the recent advancements of artificial intelligence (AI) in cardiothoracic anesthesia monitoring. RECENT FINDI...
INTRODUCTION: Residual lesions after transurethral resection of bladder tumor (TURBT) are a major contributor to recurrence in bladder cancer. Advance...
Surgical education research has become increasingly important as training programs evolve from apprenticeship-based models toward evidence-based, theo...
OBJECTIVE: To investigate the performance of a deep learning machine vision-based model in identifying anatomical landmarks in a complex microsurgical...
BACKGROUND AND OBJECTIVE: Accurate preoperative prediction of microvascular invasion (MVI) and survival risk is essential for personalized treatment i...
Spread through air spaces (STAS) is a pathological feature associated with poor prognosis in non-small cell lung cancer (NSCLC). However, its diagnosi...
BACKGROUND: Clinical trials are essential for advancing cancer care, but identifying eligible patients in surgical clinics can be challenging due to t...
Digital technologies are transforming oral healthcare by enhancing prevention, diagnostics, treatment, and maintenance procedures. However, few compre...
OBJECTIVE: Artificial intelligence (AI) is increasingly explored in pediatric surgical care, yet its translation into diagnostics and preoperative pla...
OBJECTIVE: To develop and internally validate a machine-learning model for the early prediction of postoperative vasoplegia after cardiac surgery. DES...
OBJECTIVE: To develop and validate a prediction model integrating laboratory parameters and thromboelastography (TEG) for forecasting blood transfusio...