AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Hepatectomy

Showing 121 to 130 of 160 articles

Clear Filters

MILS in a general surgery unit: learning curve, indications, and limitations.

Updates in surgery
Minimally invasive liver surgery (MILS) is going to be a method with a wide diffusion even in general surgery units. Organization, learning curve effect, and the environment are crucial issues to evaluate before starting a program of minimally invasi...

Robotic liver surgery: preliminary experience in a tertiary hepato-biliary unit.

Updates in surgery
Minimally invasive liver surgery is performed with increasing frequency by hepatic surgeons. Laparoscopy was the first approach to be used and it is currently safely feasible in selected patients by experienced surgeons. Minor and major laparoscopic ...

Towards cybernetic surgery: robotic and augmented reality-assisted liver segmentectomy.

Langenbeck's archives of surgery
BACKGROUND: Augmented reality (AR) in surgery consists in the fusion of synthetic computer-generated images (3D virtual model) obtained from medical imaging preoperative workup and real-time patient images in order to visualize unapparent anatomical ...

European Association of Endoscopic Surgeons (EAES) consensus statement on the use of robotics in general surgery.

Surgical endoscopy
Following an extensive literature search and a consensus conference with subject matter experts the following conclusions can be drawn: 1. Robotic surgery is still at its infancy, and there is a great potential in sophisticated electromechanical syst...

Artificial intelligence in liver cancer surgery: Predicting success before the first incision.

World journal of gastroenterology
Advancements in machine learning have revolutionized preoperative risk assessment. In this article, we comment on the article by Huang , which presents a recent multicenter cohort study demonstrated that machine learning algorithms effectively strati...

AI and Machine Learning Computational Modeling that Takes into Consideration Gut Microbiota for a Personalized Decision Support Preoperative Planning for an Optimum Liver Regeneration After Partial Hepatectomy.

Studies in health technology and informatics
INTRODUCTION: Gut microbiota (GM) is implicated in the remnant liver regeneration (LR) after partial hepatectomy (PH) and affects outcomes. Our study shifts the algorithmic computational modeling from the classical knowledge of (LR) to that of (GM) i...

Preoperative prediction of textbook outcome in intrahepatic cholangiocarcinoma by interpretable machine learning: A multicenter cohort study.

World journal of gastroenterology
BACKGROUND: To investigate the preoperative factors influencing textbook outcomes (TO) in Intrahepatic cholangiocarcinoma (ICC) patients and evaluate the feasibility of an interpretable machine learning model for preoperative prediction of TO, we dev...

Machine learning model using immune indicators to predict outcomes in early liver cancer.

World journal of gastroenterology
BACKGROUND: Patients with early-stage hepatocellular carcinoma (HCC) generally have good survival rates following surgical resection. However, a subset of these patients experience recurrence within five years post-surgery.

A clinical-radiomic-pathomic model for prognosis prediction in patients with hepatocellular carcinoma after radical resection.

Cancer medicine
PURPOSE: Radical surgery, the first-line treatment for patients with hepatocellular cancer (HCC), faces the dilemma of high early recurrence rates and the inability to predict effectively. We aim to develop and validate a multimodal model combining c...