Latest AI and machine learning research in surgery for healthcare professionals.
INTRODUCTION: Dental implant surgery has become a prevalent treatment option for patients with singl...
OBJECTIVES: To develop a deep learning (DL) model for predicting disease-free survival (DFS) in clin...
OBJECTIVES: Benign lymph node enlargement can mislead surgeons into overstaging colorectal cancer (C...
Hepatocellular carcinoma (HCC) is a malignant tumor with high incidence and mortality rates globally...
BACKGROUND AND OBJECTIVES: Endoprosthetic reconstruction is the preferred approach for limb salvage ...
BACKGROUND: Automatic detection of surgical instruments is essential for Artificial Intelligence Sur...
Image-guided minimally invasive ultrasound thermal ablation has been widely studied for disease trea...
OBJECTIVE: This study aimed to develop an innovative early prediction model for acute kidney injury ...
OBJECTIVES: In orthognathic surgery, preoperative three-dimensional soft-tissue simulations are freq...
BACKGROUND: Adequate preoperative identification of patients at risk of significant healthcare utili...
BACKGROUND: Postoperative complications in colorectal surgery can significantly impact patient outco...
PURPOSE: The choice of wound closure modality after limb-sparing extremity soft-tissue sarcoma (eSTS...
INTRODUCTION: Epilepsy is a prevalent chronic neurological disorder, with approximately one-third of...
BACKGROUND AND PURPOSE: Glioma molecular characterization is essential for risk stratification and t...
BACKGROUND: Accurate liver-volume measurements from CT scans are essential for treatment planning, p...
BACKGROUND: Robot-assisted radical prostatectomy (RARP) represents the leading application of roboti...
Study DesignLongitudinal Cohort.ObjectivesTo determine if a surgeon's clinical judgment can predict ...
Head and neck squamous cell carcinoma (HNSCC) remains a globally prevalent malignancy with high morb...