Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND: Imaging guides the staging of urothelial carcinoma and thus plays a central role in trea...
BACKGROUND: The lymph node ratio (LNR) is gaining recognition as a prognostic biomarker for various ...
OBJECTIVE: Micrometer-scale precision is vital for patient safety in ophthalmic surgery. Recent adva...
INTRODUCTION: Persistent postsurgical pain (PPSP) affects up to 15% of patients after major surgery,...
Retinal vein occlusion (RVO) is one of the most common vision-threatening retinal diseases, with mac...
OBJECTIVE: Obstructive hydrocephalus is a critical radiographic finding requiring emergent treatment...
OBJECTIVE: This study aimed to retrospectively analyze consultations requested from the emergency de...
BACKGROUND: Accurate prediction of operative duration is essential for efficient scheduling and reso...
Object-centric slot attention is a powerful framework for unsupervised learning of structured and ex...
BACKGROUND: Cognitive dysfunction is common in people with epilepsy (PWE). Although expectations exi...
Generative artificial intelligence (GAI) is anticipated to transform medical education, and many stu...
BACKGROUND: Applications to integrated plastic surgery residency programs have outpaced the growth o...
BACKGROUND: Conventional machine learning (ML) models for predicting surgical outcomes have limitati...
Digital twin-assisted surgery referred to the use of a dynamic, patient specific virtual model that ...
BACKGROUND: Preoperative differentiation of precursor glandular lesions (PGL), minimally invasive (M...
PURPOSE OF REVIEW: Endoscopic resection (ER) has transformed the management of early gastrointestina...
BACKGROUND: Therapeutic emesis (TE), known as vamana karma, is a classical method of detoxification ...
Metabolic dysfunction-associated fatty liver disease (MAFLD) is a highly prevalent liver condition c...
Occult pathological T3a (pT3a) upstaging in cT1b-T2a clear cell renal cell carcinoma (ccRCC) correla...
Stroke-associated pneumonia (SAP) is a frequent and severe complication following stroke. Recently, ...
AIM: To develop and evaluate an autonomous artificial intelligence (AI) agent to support nurse-led d...