To conduct better research in hepatocellular carcinoma resection, this paper used 3D
machine learning and logistic regression algorithm to study the preoperative assistance of …

Multi-phase computed tomography images are widely applied to doctors' routine
interpretation of organic lesions or before human abdominal surgery. However, because of …

With the continuous development of internet information computing, the continuous
improvement of medical and health systems, and the continuous increase of medical big …

Since the 20th century, cancer has become one of the main diseases threatening human
health. Liver cancer is a malignant tumor with extremely high clinical morbidity and fatality …

Among liver cancer patients, diabetes is one of the most common complications. This paper
uses the Diabetes Dataset of the National Clinical Medical Science Data Center to explore …

In order to explore the construction and implementation effect of a procedural nursing
system for laparoscopic surgery in general surgery based on deep learning, this article …

Various factors influencing postoperative incisional infection in gynecologic tumors were
analyzed, and the value of quality nursing intervention was studied. In this study, 74 …

Background/Aim: Laparoscopic hepatectomy (LH) requires accurate visualization and
appropriate handling of hepatic veins and the Glissonean pedicle that suddenly appear …

In the past decade, artificial intelligence (AI)-based technology has been applied to develop
a simulation and navigation system and a model for predicting surgical outcomes in …

This research aimed to discuss the application of traditional nonlocal mean (NLM) algorithm‐
based computerized tomography (CT) images in intervention evaluation of the nursing for …