Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND: Patients are increasingly turning to online resources and artificial intelligence (AI)-based tools to obtain information about orthopedic conditions and surgical options. Large language models, such as ChatGPT, are becoming prominent in patient education; however, their reliability and readability remain uncertain. This study evaluated the quality and readability of responses generated...
Effects of stroke therapies area highly time dependent but onset-to-treatment times for recanalizing treatment are mostly beyond optimal time windows. Mobile stroke units shorten time to treatment and improve functional outcome. However, costs and logistical demands preclude their widespread use. There is a pressing need for alternative prehospital diagnostic tools that enable early, on-site treat...
Study DesignScoping review.ObjectivesTo map spine literature on large language models, characterize reported use cases, and identify evidence gaps lim...
BACKGROUND: Cohort selection criteria play a critical role in shaping machine learning (ML) model performance and the equity of clinical outcome predi...
BACKGROUND: Accurate identification of anatomical landmarks such as loose connective tissue, nerves, the vas deferens, and microvessels is essential f...
Abdominal vascular calcification is increasingly recognized as a clinically relevant marker of systemic atherosclerotic burden and regional vascular d...
Perioperative anaesthetic complications are a major public health concern, as they are associated with increased mortality, prolonged hospital stay, h...
INTRODUCTION: Delayed graft function (DGF) is a frequent early complication after kidney transplantation. We systematically reviewed artificial intell...
BACKGROUND: Electrographic flow (EGF) mapping is an FDA 510(k)-cleared method for visualizing atrial activation wavefronts in atrial fibrillation (AF)...
INTRODUCTION: Surgeons are frequently exposed to psychological stress across the perioperative trajectory, which may affect surgeons' well-being and p...
BACKGROUND: Liver fibrosis caused by Schistosoma japonicum may continue to progress even following successful praziquantel chemotherapy. Although live...
Neoadjuvant immunotherapy is reshaping the treatment landscape of locally advanced gastric cancer (GC). The central clinical challenge has expanded fr...
Ureteral injury is a serious complication of colorectal surgery. Current intraoperative localization methods, including indocyanine green (ICG) fluore...
Uterine fibroids pose a major global health burden, affecting approximately 120 million women worldwide. While minimally invasive surgeries, such as e...
PURPOSE: Large language model-based artificial intelligence (AI) platforms have attracted substantial interest as potential clinical adjuncts within s...
OBJECTIVE: Quantitative assessment of extent of tissue resection following epilepsy surgery requires accurate delineation of the resection cavity on p...
Histological diagnosis of mediastinal tumors can be challenging when safe puncture access is limited by adjacent airway and vascular structures. This ...
The relative use of shock wave lithotripsy (SWL) has declined with the expansion of endourological techniques, although SWL remains widely available. ...
Endoscopic diagnostics and treatment of early esophageal neoplasia have achieved considerable progress in recent years. For Barrett's esophagus-associ...
BACKGROUND: Due to the complex pathophysiology of non-traumatic subarachnoid hemorrhage (SAH), accurate risk prediction remains a challenge. Our aim i...