Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND: Plastic, Reconstructive, and Aesthetic Surgery (PRAS) faces domain erosion from adjacent specialties and jurisdictional competition. To maintain clinical authority and address modern healthcare complexities, PRAS must evolve beyond an organ-specific, micro-scale procedural focus toward an interdisciplinary paradigm that integrates medical sciences, ethics, cultural, medicolegal framewo...
BACKGROUND: Appendicitis severity underpins contemporary management guidelines, where laparoscopic appendectomy remains gold standard. Preoperative measures poorly predict actual disease severity or complication risk, while operative grading systems such as the American Association for the Surgery of Trauma (AAST) remains largely confined to research settings. Artificial intelligence (AI) may prov...
PURPOSE: Machine learning (ML) models have been increasingly applied to predict postoperative facial nerve dysfunction and hearing preservation after ...
Ultrasound imaging is an indispensable diagnostic tool, yet its profound reliance on operator expertise inherently restricts its reproducibility and g...
Technology-assisted implant positioning has emerged as a strategy to improve component placement accuracy in total hip arthroplasty (THA). However, th...
BACKGROUND: Post-operative delirium is a serious neurocognitive complication of cardiac surgery. The stress hyperglycaemia ratio (SHR), which adjusts ...
Existing studies on prognostic prediction for multidrug-resistant organisms (MDROs) are limited by single-model designs, incomplete consideration of w...
This study aimed to develop and validate an automated magnetic resonance imaging (MRI)-based pipeline for temporal classification of intracerebral hem...
Accurate measurement of acetabular cup orientation after total hip arthroplasty is essential, but postoperative CT relies on subjective, error-prone m...
INTRODUCTION: Central venous cannulation is essential for life-saving interventions including resuscitation of critically ill patients, hemodynamic mo...
PURPOSE: The contour neurovascular system (CNS) is increasingly used for endovascular treatment of intracranial aneurysms, but outcome and post-treatm...
BACKGROUND AND PURPOSE: Small intracerebral hemorrhage (ICH), defined as baseline NCCT hematoma volume (HV) <30 mL, is often considered lower risk for...
BACKGROUND: Surgical site outcome (SSO) reporting lacks details of management, focuses on infection, and overlooks dehiscence, seroma and haematoma. A...
BACKGROUND: Programmed death-ligand 1 (PD-L1) expression and CD8-positive (CD8+) T-cell infiltration in tumor tissue are associated with prognosis in ...
BACKGROUND: Cesarean section (C-section) is the most common surgical procedure in the United States, yet its use varies widely across regions and inst...
BACKGROUND: Large language models (LLMs) may help organize clinical information, but their use in perioperative settings requires careful evaluation b...
BACKGROUND: Hemodynamic-guided management improves outcomes in heart failure (HF), but implantable pulmonary artery pressure monitoring is limited by ...
Endodontic care has traditionally focused on the management of local disease conditions and long-term function. As the burden of pulpal and periapical...
OBJECTIVE: To predict patient satisfaction 6 months after small-incision lenticule extraction (SMILE) surgery from preoperative clinical data demonstr...
Cerebral hemorrhage is a critical public health issue marked by high incidence, disability, and mortality. In China, short-video platforms have become...