The expanding and evolving role of artificial intelligence (AI) in surgery has been enhanced by the adoption of robotic-assisted surgery (RAS), which provides a platform to facilitate the integration and utilisation of AI technologies. One area where...
Nanorobotics is catalyzing a paradigm shift in GI surgery by synergizing nanoscale engineering, synthetic biology, and intelligent computation to create a novel frontier in precision medicine. This review critically discusses the most recent experime...
OBJECTIVE: The aim of our study is to determine the main predictors of postoperative AKI in neonates using machine learning models compared with the logistic regression model.
HPB : the official journal of the International Hepato Pancreato Biliary Association
Dec 21, 2024
BACKGROUND: Hepato-Pancreato-Biliary (HPB) surgery is a complex specialty and Artificial Intelligence (AI) applications have the potential to improve pre- intra- and postoperative outcomes of HPB surgery. While ethics guidelines have been developed f...
BACKGROUND: Delayed clinically important postoperative nausea and vomiting (CIPONV) could lead to significant consequences following surgery. We aimed to develop a prediction model for it using machine learning algorithms utilizing perioperative data...
BACKGROUND: Artificial intelligence (AI) models have been applied in various medical imaging modalities and surgical disciplines, however the current status and progress of ultrasound-based AI models within hepatopancreatobiliary surgery have not bee...
European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
May 11, 2024
BACKGROUND: Clinical decision-making in gastrointestinal surgery is complex due to the unpredictability of tumoral behavior and postoperative complications. Artificial intelligence (AI) could aid in clinical decision-making by predicting these surgic...
Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract
Mar 12, 2024
BACKGROUND: Machine learning (ML) approaches have become increasingly popular in predicting surgical outcomes. However, it is unknown whether they are superior to traditional statistical methods such as logistic regression (LR). This study aimed to p...
With advances in modern medicine, there is a constant need for accurate and up-to-date readily available information online to ensure patients are well-equipped for informed decision making. This study sets out to analyze websites that provide patien...
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