AIMC Topic: Liver Diseases

Clear Filters Showing 61 to 70 of 102 articles

Model to Predict Progression of Liver Disease in Heavy Drinkers Is Useful Today and Supports the Future of Deep Learning.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association

Liver lesion localisation and classification with convolutional neural networks: a comparison between conventional and spectral computed tomography.

Biomedical physics & engineering express
PURPOSE: To evaluate the benefit of the additional available information present in spectral CT datasets, as compared to conventional CT datasets, when utilizing convolutional neural networks for fully automatic localisation and classification of liv...

A two-step automated quality assessment for liver MR images based on convolutional neural network.

European journal of radiology
PURPOSE: To propose an automatic approach based on a convolutional neural network (CNN) to evaluate the quality of T2-weighted liver magnetic resonance (MR) images as nondiagnostic (ND) or diagnostic (D).

Liver disease screening based on densely connected deep neural networks.

Neural networks : the official journal of the International Neural Network Society
Liver disease is an important public health problem. Liver Function Tests (LFT) is the most achievable test for liver disease diagnosis. Most liver diseases are manifested as abnormal LFT. Liver disease screening by LFT data is helpful for computer a...

Application of Artificial Intelligence to Gastroenterology and Hepatology.

Gastroenterology
Since 2010, substantial progress has been made in artificial intelligence (AI) and its application to medicine. AI is explored in gastroenterology for endoscopic analysis of lesions, in detection of cancer, and to facilitate the analysis of inflammat...

How will artificial intelligence affect diagnosis and treatment of liver disease?

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver

Machine Learning Prediction of Liver Stiffness Using Clinical and T2-Weighted MRI Radiomic Data.

AJR. American journal of roentgenology
The purpose of this study is to develop a machine learning model to categorically classify MR elastography (MRE)-derived liver stiffness using clinical and nonelastographic MRI radiomic features in pediatric and young adult patients with known or su...

Machine learning algorithms for the detection of spurious white blood cell differentials due to erythrocyte lysis resistance.

Journal of clinical pathology
AIMS: Red blood cell (RBC) lysis resistance interferes with white blood cell (WBC) count and differential; still, its detection relies on the identification of an abnormal scattergram, and this is not clearly adverted by specific flags in the Beckman...

[An unusual cause of jaundice].

The Pan African medical journal
Hepatic impairment is common during hyperthyroidism. It is most often asymptomatic. Hyperthyroidism revealed by jaundice has been rarely described in the literature. We here report the case of a 52-year old patient in Dakar (Senegal) presenting with ...