Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND AIMS: Computed tomography enterography (CTE) is a non-invasive cross-sectional imaging mo...
The study by Ko and colleagues provides evidence that large language models may achieve modestly imp...
BACKGROUND: Globally, pneumonia remains the single biggest cause of mortality in children under 5 ye...
BACKGROUND: Emergency colorectal cancer resection (ECCR) is associated with worse perioperative and ...
INTRODUCTION: Rural surgical services face increasing clinical demand and administrative burden, oft...
BACKGROUND: General-purpose vision-language models can analyze medical images without task-specific ...
INTRODUCTION: Chronic subdural hematoma (cSDH) predominantly affects older adults, often those with ...
PURPOSE: Patients undergoing surgery for spinal metastases often have limited physiologic reserve. A...
OBJECTIVE: To develop a high-accuracy prediction model using hybrid machine learning (ML) and explai...
PURPOSE OF REVIEW: To review postoperative rehabilitation protocols after surgery for patellar insta...
Cosmetic-procedure consideration is associated with a spectrum of psychological and sociocultural fa...
BACKGROUND: Morphological changes of abdominal organs in hepatocellular carcinoma (HCC) remain uncha...
BACKGROUND: Artificial intelligence (AI) is increasingly utilized in surgical care for decision supp...
Integrating multi-source healthcare data for predictive modeling requires rigorous data quality vali...
OBJECTIVE: Idiopathic normal pressure hydrocephalus (INPH) is a treatable neurological condition, ye...
OBJECTIVE: To develop and internally validate machine-learning models for non-invasive triage of wom...
BACKGROUND: Artificial intelligence (AI) has rapidly advanced in surgical applications. However, exi...
Background With the widespread availability of whole-slide imaging, many studies have utilized digit...
INTRODUCTION: Technological innovation is rapidly transforming surgical care, yet disparities in acc...
BACKGROUND: To investigate the use of contrast-enhanced mammography (CEM) for preoperative predictio...
OBJECTIVE: To systematically evaluate radiomic features extracted from [18F] PSMA-3Q PET/CT using 40...