Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND: Emergency ventral hernia repair remains a challenging procedure due to patient instabili...
OBJECTIVE: The focus of epilepsy research has largely been on seizure onset; however, physicians typ...
PURPOSE OF REVIEW: To review and summarize the current literature on recent advances in corneal topo...
Pituitary neuroendocrine tumors (PitNETs) are common sellar neoplasms and represent a major componen...
PURPOSE: The Parkland Grading Scale (PGS) is widely used to quantify operative difficulty in cholecy...
Real-time biomarker sensing and molecular sampling in the stomach can transform how gastrointestinal...
OBJECTIVES: To develop and validate a deep learning framework for classifying postoperative time-poi...
OBJECTIVE: Endoscopic third ventriculostomy with choroid plexus cauterization (ETV/CPC) has decrease...
OBJECTIVE: Traumatic central cord syndrome (TCCS) is the most common incomplete spinal cord injury, ...
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...
BACKGROUND: Infectious complications, such as sepsis or catheter-related infections, are common and ...
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...