Artificial intelligence in medicine: What is it doing for us today?

A Becker - Health Policy and Technology, 2019 - Elsevier
With its origins in the mid-to late-1900s, today, artificial intelligence (AI) is used in a wide
range of medical fields for varying purposes. This review first covers the early work …

Guidelines on the use of liver biopsy in clinical practice from the British Society of Gastroenterology, the Royal College of Radiologists and the Royal College of …

J Neuberger, J Patel, H Caldwell, S Davies, V Hebditch… - Gut, 2020 - gut.bmj.com
Liver biopsy is required when clinically important information about the diagnosis, prognosis
or management of a patient cannot be obtained by safer means, or for research purposes …

Quantification of liver fibrosis—A comparative study

A Arjmand, MG Tsipouras, AT Tzallas, R Forlano… - Applied Sciences, 2020 - mdpi.com
Liver disease has been targeted as the fifth most common cause of death worldwide and
tends to steadily rise. In the last three decades, several publications focused on the …

[HTML][HTML] High-throughput, machine learning–based quantification of steatosis, inflammation, ballooning, and fibrosis in biopsies from patients with nonalcoholic fatty …

R Forlano, BH Mullish, N Giannakeas… - Clinical …, 2020 - Elsevier
Background & Aims Liver biopsy is the reference standard for staging and grading
nonalcoholic fatty liver disease (NAFLD), but histologic scoring systems are semiquantitative …

Improving the diagnosis of liver disease using multilayer perceptron neural network and boosted decision trees

M Abdar, NY Yen, JCS Hung - Journal of Medical and Biological …, 2018 - Springer
Early detection of liver disease is never easy, though it is one of the most important diseases
on earth. This study, thus, attempts to achieve efficient early detection through a Multilayer …

Clinical prediction of HBV and HCV related hepatic fibrosis using machine learning

R Wei, J Wang, X Wang, G Xie, Y Wang, H Zhang… - …, 2018 - thelancet.com
Clinical prediction of advanced hepatic fibrosis (HF) and cirrhosis has long been
challenging due to the gold standard, liver biopsy, being an invasive approach with certain …

On the role of artificial intelligence in genomics to enhance precision medicine

Ó Álvarez-Machancoses… - Pharmacogenomics …, 2020 - Taylor & Francis
The complexity of orphan diseases, which are those that do not have an effective treatment,
together with the high dimensionality of the genetic data used for their analysis and the high …

Analysis of collagen spatial structure using multiphoton microscopy and machine learning methods

YV Kistenev, DA Vrazhnov, VV Nikolaev… - Biochemistry …, 2019 - Springer
Pathogenesis of many diseases is associated with changes in the collagen spatial structure.
Traditionally, the 3D structure of collagen in biological tissues is analyzed using …

Quantitative analysis of liver tumors at different stages using microscopic hyperspectral imaging technology

J Wang, Q Li - Journal of Biomedical Optics, 2018 - spiedigitallibrary.org
Liver cancer has one of the highest rates of human morbidity and mortality. However, in
terms of pathology, liver cancer is traditionally clinically diagnosed based on observation of …

Changes in liver stiffness measurement using acoustic radiation force impulse elastography after antiviral therapy in patients with chronic hepatitis C

SH Chen, HC Lai, IP Chiang, WP Su, CH Lin, JT Kao… - PLoS …, 2018 - journals.plos.org
Background To compare on-treatment and off-treatment parameters acquired using acoustic
radiation force impulse elastography, the Fibrosis-4 (FIB-4) index, and aspartate …