Latest AI and machine learning research in surgery for healthcare professionals.
Treatment outcome prediction plays an important role in realizing personalized cancer therapy. In tr...
Artificial intelligence is rapidly expanding across medical fields, yet its integration into surgica...
BACKGROUND: To strengthen preoperative preparation and improve clinical outcomes, a multimedia preha...
BACKGROUND: Postoperative atrial fibrillation (POAF) is a frequent complication after cardiac surger...
RATIONALE AND OBJECTIVES: This study aimed to develop an interpretable machine learning (ML) model u...
INTRODUCTION: Postoperative sepsis after pancreatoduodenectomy (PSPD) remains a major determinant of...
IMPORTANCE: Surgery often has lasting impacts on quality of life, which requires outcome measurement...
BackgroundLarge language models (LLMs) have demonstrated strong performance on general medical knowl...
BACKGROUND: Since the emergence of the Chat Generative Pre-Trained Transformer (ChatGPT), artificial...
Smart perceptive suction cups capable of non-destructively adhering to tissues are in high demand in...
TOPIC: This review evaluated the performance of artificial intelligence (AI) models for predicting o...
OBJECTIVE: A total of 28% of global cardiac surgeries are performed in Latin America; however, surge...
BACKGROUND: Optimal alignment correction can potentially lower the high complication rates of adult ...
Hemorrhage remains the leading cause of preventable trauma death, with traditional vital signs faili...
BACKGROUND: Artificial intelligence (AI) models are being increasingly integrated into clinical care...
BACKGROUND: Machine Learning (ML) models have achieved outstanding performance in predicting post-su...
BACKGROUND: Postoperative nausea and vomiting (PONV) prolongs hospitalization and reduces patient sa...
PURPOSE: Endogenous fungal endophthalmitis (EFE) is a rare, sight-threatening intraocular infection ...
PURPOSE: This study aims to systematically map and analyze the knowledge structure, research hotspot...
BACKGROUND: Craniosynostosis is a congenital disorder characterized by premature suture fusion and a...
PURPOSE: To assess the performance of GPT-5 in refractive surgery planning by comparing its recommen...