AIMC Topic: Liver Neoplasms

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[Robotic Liver Resection for Liver Malignancy].

Gan to kagaku ryoho. Cancer & chemotherapy
Robotic liver resection is a new platform for minimally invasive liver resection, and its functional advantages are expected to reduce or overcome the difficulties or limitations of laparoscopic liver resection, such as restricted instrument movement...

Improving artificial intelligence pipeline for liver malignancy diagnosis using ultrasound images and video frames.

Briefings in bioinformatics
Recent developments of deep learning methods have demonstrated their feasibility in liver malignancy diagnosis using ultrasound (US) images. However, most of these methods require manual selection and annotation of US images by radiologists, which li...

Robo-Lap Approach Optimizes Intraoperative Outcomes in Robotic Left and Right Hepatectomy.

JSLS : Journal of the Society of Laparoendoscopic Surgeons
BACKGROUND: The aim of the present study is to evaluate the possible advantages of the Robo-Lap (parenchymal transection by laparoscopic ultrasonic dissector and robotic bipolar forceps and scissors) compared with pure robotic technique (parenchymal ...

Prediction of Decompensation and Death in Advanced Chronic Liver Disease Using Deep Learning Analysis of Gadoxetic Acid-Enhanced MRI.

Korean journal of radiology
OBJECTIVE: This study aimed to evaluate the usefulness of quantitative indices obtained from deep learning analysis of gadoxetic acid-enhanced hepatobiliary phase (HBP) MRI and their longitudinal changes in predicting decompensation and death in pati...

DeepHisCoM: deep learning pathway analysis using hierarchical structural component models.

Briefings in bioinformatics
Many statistical methods for pathway analysis have been used to identify pathways associated with the disease along with biological factors such as genes and proteins. However, most pathway analysis methods neglect the complex nonlinear relationship ...

Machine Learning Approach to Facilitate Knowledge Synthesis at the Intersection of Liver Cancer, Epidemiology, and Health Disparities Research.

JCO clinical cancer informatics
PURPOSE: Liver cancer is a global challenge, and disparities exist across multiple domains and throughout the disease continuum. However, liver cancer's global epidemiology and etiology are shifting, and the literature is rapidly evolving, presenting...

Detecting Racial/Ethnic Health Disparities Using Deep Learning From Frontal Chest Radiography.

Journal of the American College of Radiology : JACR
PURPOSE: The aim of this study was to assess racial/ethnic and socioeconomic disparities in the difference between atherosclerotic vascular disease prevalence measured by a multitask convolutional neural network (CNN) deep learning model using fronta...

Robust Engineering-based Unified Biomedical Imaging Framework for Liver Tumor Segmentation.

Current medical imaging
BACKGROUND: Computer vision in general and semantic segmentation has experienced many achievements in recent years. Consequently, the emergence of medical imaging has provided new opportunities for conducting artificial intelligence research. Since c...