Latest AI and machine learning research in surgery for healthcare professionals.
PURPOSE: Fluorescence imaging is critical for intraoperative intestinal perfusion assessment in colo...
The use of machine learning (ML) techniques, particularly XGBoost and logistic regression, to predic...
Past work has primarily focused on how the perception of robotic agency influences human-robot inter...
: This is a retrospective study conducted at the Clinical County Hospital of Craiova, Romania, provi...
The coronary angiography-derived fractional flow reserve (FFR) curve, referred to as the Angio-FFR c...
PURPOSE: Deep learning methods are commonly used to generate context understanding to support surgeo...
PURPOSE: Laparoscopic cholecystectomy is one of the most commonly performed surgeries in the UK. Des...
We employed bulk RNA-seq and scRNA-seq techniques to analyze the immune dysregulation in patients wi...
Retained surgical items (RSIs) can lead to severe complications, and infections, with morbidity rate...
Medical micro- and nano-bots (MMBs and MNBs) have attracted a lot of attention owing to their precis...
OBJECTIVE: The infiltration status of pulmonary ground-glass nodules (GGNs) exhibits significant var...
BACKGROUND: Postoperative acute kidney injury (AKI) is a significant risk associated with surgeries ...
Choking cough during awakening from anesthesia is common (15%-94%) and can cause severe discomfort a...
Shunting operation plan is the main daily work of the freight train depot, the optimization of shunt...
BACKGROUND: Reducing postoperative cardiovascular and neurological complications (PCNC) during thora...
This article provides an overview of knowledge gaps that need to be addressed in perioperative cardi...
BACKGROUND: Popularized by ChatGPT, large language models (LLMs) are poised to transform the scalabi...
Interstitial cells of Cajal (ICCs) play a key role in gastrointestinal smooth muscle contractions, b...
BACKGROUND: This research aimed to explore the efficacy and safety of electroacupuncture in promotin...
Coronary artery disease (CAD) is a prevalent cardiovascular condition with profound health implicati...
The accurate assessment of muscle morphology and function is crucial for medical diagnostics, rehabi...