Latest AI and machine learning research in surgery for healthcare professionals.
This study evaluated the performance of three large language models, including ChatGPT-4o, ChatGPT-5...
Patient outcomes after robotic surgery vary widely, often reflecting differences in surgical perform...
PURPOSE: In this study, we address the problem of automatic liver resection planning for major surgi...
OBJECTIVE: This study aimed to construct and validate an individualized prediction model for poor pr...
PURPOSE: C5 palsy (C5P) is one of the main postoperative complications of ossification of the poster...
Postcardiotomy shock (PCS) is a distinct form of cardiogenic shock that occurs after cardiac surgery...
OBJECTIVE: Ki-67 correlates with prognosis for patients with breast cancer. However, the evaluation ...
Fluid overload is common after neonatal congenital cardiac surgery (CCS) and is frequently managed w...
PURPOSE: Robotic-assisted surgery (RAS) generates vast amounts of video and robotic data, presenting...
OBJECTIVES: Large language models (LLMs) using a retrieval-augmented generation (RAG) approach have ...
Pancreatic ductal adenocarcinoma remains one of the deadliest malignancies, characterized by late di...
This study employs Physics-Informed Neural Networks (PINNs) to simulate the thermal dynamics of biol...
Transient hypocalcemia is a common complication of total thyroidectomy. This study aimed to evaluate...
BACKGROUND: Lung resection is the gold-standard treatment for early stage lung cancer, but remains a...
BACKGROUND: The expansion of digitalization in the pre-, intra- and post-operative surgical phases a...
Infections after surgery remain a leading cause of morbidity and mortality, yet reliable risk strati...
BACKGROUND: The integration of intelligent technologies in operating room nursing represents a rapid...
BACKGROUND: Informed consent (IC) documents in spine surgery frequently lack procedure-specific risk...
A prospective observational cohort study. To determine whether machine learning models using radiomi...
To address the unstable target localization and insufficient path planning efficiency caused by comp...
INTRODUCTION: Currently, there are many diagnostic strategies for in-stent restenosis (ISR) used cli...