Latest AI and machine learning research in surgery for healthcare professionals.
Hyperspectral imaging (HSI) has shown significant diagnostic potential for both intra- and postopera...
Surgical workflow recognition is vital for automating tasks, supporting decision-making, and train...
Functional limitation after lung resection surgery has been consistently documented in clinical st...
In a recent study, the effectiveness of GPT-4 Omni in transforming lobectomy surgical records into s...
Recently, natural language has been the primary medium for human-robot interaction. However, its i...
Arachnoid cysts are cerebrospinal fluid (CSF)-filled sacs that develop within the arachnoid membrane...
Introduction and aim Large language models (LLMs) are transforming medical education by offering inn...
PCs are complicated. Yet, being generally more effective, they have replaced typewriters in everyday...
BACKGROUND: Lymph node metastasis (LNM) poses a considerable threat to survival in lung adenocarcino...
Purpose To develop and validate a deep multitask network, MultiRecNet, for fully automatic predictio...
Artificial intelligence(AI) is increasingly being utilized in the research of cervical spine disease...
Although the use of robotic-assisted surgery (RAS) is increasing worldwide, qualitative research on ...
BACKGROUND: Some clinicopathological risk stratification systems (CRSSs) such as the leibovich score...
ObjectiveWe aimed to develop advanced machine learning models using electroencephalogram (EEG) and e...
BackgroundAs health education robots may potentially become a significant support force in nursing p...
PURPOSE: To develop machine learning models using the American College of Surgeons National Quality ...
Diabetic retinopathy (DR) is a frequent complication of diabetes, affecting millions worldwide. Scre...
AIM: This study aimed to evaluate the effect of esketamine on perioperative anxiety and depressive s...
OBJECTIVE: This study aims to evaluate the feasibility of video-based assessment rate of Critical Vi...
The increasing complexity of lung surgeries necessitates the need for enhanced imaging support to im...
Non-muscle-invasive bladder cancer (NMIBC) is a relentless challenge in oncology, with recurrence ...