Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND: Current literature on AAA is characterized by selective outcome reporting, while guideline recommendations are frequently based on studies of poor methodological quality. To improve evidence synthesis, standardization of outcome measures through a core outcome set (COS) is advocated, particularly in artificial intelligence (AI) research. A COS consists of essential outcomes for reporti...
OBJECTIVES: The precise prediction by MSI plays a key role in the perioperative treatment and prognosis of colorectal cancer (CRC) patients. This study seeks to establish an interpretable deep learning radiomics model using enhanced CT images to improve the preoperative prediction of microsatellite instability (MSI) in CRC. METHODS: The retrospective study analyzed 873 CRC patients who received cu...
Early identification and prevention of persistent acute kidney injury (pAKI) remain challenging due to delayed biochemical markers and limited tools t...
Pediatric neuro-oncology is a critical field of neurosurgery, representing the leading cause of disease-related mortality in children. Despite its rar...
To provide a narrative synthesis of the performance paradox in large language model (LLM) applications for spine surgery, examining the disparity betw...
INTRODUCTION: Facial paralysis is a challenging condition that affects both function and quality of life. Numerous surgical techniques have been descr...
OBJECTIVE: Recent growth of online research has been accompanied by an increase in reports of fraudulent participants, which can significantly compris...
Pararescue jumpers are United States Air Force medical tactical operators who provide advanced trauma and prolonged casualty care in austere, high-ris...
PURPOSE: Sarcopenia has already been widely investigated as a potential indicator of negative outcomes in oncology patients. Our aim was to evaluate t...
Medical applications of mathematical modeling, including machine learning models, knowledge graphs, and health digital twins, primarily involve the pr...
BACKGROUND: Type 2 diabetes (T2D) currently has no cure. However, extensive evidence suggests that addressing key risk factors through lifestyle chang...
INTRODUCTION: Joint bleeds are the most significant complication in haemophilia, leading to functional impairment and reduced quality of life. Repeate...
INTRODUCTION: Accurate and timely documentation during surgical ward rounds is critical for ensuring patient safety, effective multidisciplinary commu...
BACKGROUND: Many factors cause kidney transplant graft failure. To identify at-risk patients and tailor treatment, failure risks must be accurately pr...
The purpose of this study was to investigate the efficacy of a three-dimensional (3D) deep learning (DL) model in predicting recurrence risk of stage ...
OBJECTIVE: Prevertebral soft tissue swelling (PSTS) is a significant complication of anterior cervical spine surgery (ACSS) that causes dysphagia, dys...
BACKGROUND: Acute kidney injury is a common complication after orthotopic heart transplantation. Previous models have failed to consider the impact of...
INTRODUCTION: Informed consent is essential to surgical care yet often burdens clinicians. Recent studies suggest that large language models can strea...
BACKGROUND: Quality assessment in arthroplasty is gaining increasing importance in the context of growing transparency requirements in healthcare syst...
BACKGROUND: Postoperative delirium is an acute, fluctuating neurocognitive syndrome. It is among the most common perioperative complications in older ...