Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND AND PURPOSE: This study aims to provide a comprehensive comparison of the performance and...
BACKGROUND: The use and standardization of innovative artificial intelligence (AI) tools continue to...
Osteosclerotic jaw lesions, often incidentally detected on routine radiographs, are rarely biopsied ...
BACKGROUND: Artificial intelligence (AI) in surgical disciplines has the potential to support all ar...
BACKGROUND: Existing pancreatic cancer prediction models still have significant limitations until no...
This study aimed to compare the predictive performance of traditional stone scoring systems with a l...
Minimally invasive liver surgery (MILS), including laparoscopic liver surgery and robotic liver surg...
Accurate preoperative identification of true positive white matter pathways involved in critical elo...
OBJECTIVE: To compare the spatial accuracy between Robotic Computer-Assisted implant Surgery (R-CAIS...
BACKGROUND: Total joint arthroplasty (TJA) complications necessitate the development of accurate ris...
BACKGROUND: The current gold standard for the diagnosis of coronary artery disease (CAD) is invasive...
The global demand for cosmetic procedures is accelerating, with over 1.6 million aesthetic surgical ...
Artificial intelligence (AI) is increasingly integrated into plastic and reconstructive surgery. It ...
Rectal cancer management has increasingly shifted toward organ-preserving strategies that aim to mai...
OBJECTIVE: To develop and validate a deep learning system (DLS) model predicting hematoma expansion ...
To construct an efficient predictive model for post-lung cancer resection delirium (POD) using artif...
In orthognathic surgery, accurate segmentation of the pterygopalatine and mandibular canals in maxil...
Wearable microneedles (MNs) biosensors offer significant potential for minimally invasive biomarker ...
INTRODUCTION: Accurate and objective assessment of operative skills is essential for improving train...
BACKGROUND: Despite the ongoing controversy around the prophylactic use of antiseizure medications (...
BACKGROUND AND OBJECTIVES: Days alive and at home (DAH) is a validated outcome measure that captures...