Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND AND STUDY AIM: Identifying high-risk patients for recurrence after endoscopic resection (...
OBJECTIVE: Ultrasound fusion imaging is a hybrid technique that combines real-time ultrasonography (...
Robot-assisted technologies have progressively transformed plastic and reconstructive surgery by ena...
BACKGROUND: Radiomics holds promise for lung cancer diagnosis. This study developed an interpretable...
OBJECTIVES: Selective posterior thoracic fusion (sPTF) for Lenke 1/2 adolescent idiopathic scoliosis...
Artificial intelligence (AI) and machine learning (ML) are increasingly being applied to preoperativ...
This cross-sectional study aimed to evaluate the quality, understandability, actionability, and read...
PURPOSE: To examine global research trends in delirium prevention through a bibliometric analysis an...
PURPOSE: To evaluate the real-world multimetric performance of four commercially available computed ...
BACKGROUND: Surgeons and ostomy nurses receive a high volume of stoma photos from patients. OBJECTIV...
Preterm birth is a major pregnancy complication associated with increased maternal and neonatal risk...
BACKGROUND AND AIMS: Tertiary lymphoid structures (TLS) are associated with heterogeneous outcomes i...
Deep learning-based automated analysis offers the potential to streamline workflows, improve reprodu...
Neoadjuvant chemoradiotherapy (nCRT) is standard for locally advanced rectal cancer but increases po...
BACKGROUND: Operating room (OR) scheduling is critical for timely patient care, optimal resource usa...
In Fourier-domain optical coherence tomography (FD-OCT) imaging, saturation of the data acquisition ...
BACKGROUND: Postoperative pulmonary infection (PPI) is a common and serious complication in older ad...
BACKGROUND: Artificial intelligence (AI) and machine learning (ML) are increasingly being explored i...
BACKGROUND: Older adults requiring emergency surgery for acute tibial fractures are vulnerable to ho...
Drug-resistant epilepsy (DRE) affects over 50 million individuals worldwide, yet surgical resection,...
BACKGROUND: Patients increasingly use large language models (LLMs) to obtain medical information, bu...