AIMC Topic: Digestive System Surgical Procedures
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Artificial intelligence in hepatopancreatobiliary surgery for clinical outcome prediction: current perspective and future direction.
Journal of robotic surgery
Jul 31, 2025
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...
Advances in nanorobotics for gastrointestinal surgery: a new frontier in precision medicine and minimally invasive therapeutics.
Journal of robotic surgery
Jul 14, 2025
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...
Machine learning model for the prediction of postoperative acute kidney injury (AKI) in neonates undergoing digestive surgery.
Pediatric surgery international
Jun 24, 2025
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.
Ethics and trustworthiness of artificial intelligence in Hepato-Pancreato-Biliary surgery: a snapshot of insights from the European-African Hepato-Pancreato-Biliary Association (E-AHPBA) survey.
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...
A machine learning-based prediction model for delayed clinically important postoperative nausea and vomiting in high-risk patients undergoing laparoscopic gastrointestinal surgery.
American journal of surgery
Aug 20, 2024
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...
Artificial intelligence-aided ultrasound imaging in hepatopancreatobiliary surgery: where are we now?
Surgical endoscopy
Aug 19, 2024
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...
Can artificial intelligence help a digestive surgeon in management of rectal cancer?
Journal of visceral surgery
Jun 12, 2024
Artificial intelligence-powered clinical decision making within gastrointestinal surgery: A systematic review.
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...
Machine learning improves prediction of postoperative outcomes after gastrointestinal surgery: a systematic review and meta-analysis.
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...
Assessment of the quality of online patient-oriented information on robotic colorectal surgery.
Journal of robotic surgery
Feb 8, 2024
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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