Clinical applications of artificial intelligence—an updated overview

Ș Busnatu, AG Niculescu, A Bolocan… - Journal of clinical …, 2022 - mdpi.com
Artificial intelligence has the potential to revolutionize modern society in all its aspects.
Encouraged by the variety and vast amount of data that can be gathered from patients (eg …

[HTML][HTML] Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction

D Nam, J Chapiro, V Paradis, TP Seraphin, JN Kather - Jhep Reports, 2022 - Elsevier
Clinical routine in hepatology involves the diagnosis and treatment of a wide spectrum of
metabolic, infectious, autoimmune and neoplastic diseases. Clinicians integrate qualitative …

[HTML][HTML] Artificial intelligence: present and future potential for solid organ transplantation

A Peloso, B Moeckli, V Delaune… - Transplant …, 2022 - frontierspartnerships.org
Artificial intelligence (AI) refers to computer algorithms used to complete tasks that usually
require human intelligence. Typical examples include complex decision-making and-image …

Artificial Intelligence-Based Opportunities in Liver Pathology—A Systematic Review

P Allaume, N Rabilloud, B Turlin, E Bardou-Jacquet… - Diagnostics, 2023 - mdpi.com
Background: Artificial Intelligence (AI)-based Deep Neural Networks (DNNs) can handle a
wide range of applications in image analysis, ranging from automated segmentation to …

[HTML][HTML] Application of digital pathology and machine learning in the liver, kidney and lung diseases

B Wu, G Moeckel - Journal of Pathology Informatics, 2023 - Elsevier
The development of rapid and accurate Whole Slide Imaging (WSI) has paved the way for
the application of Artificial Intelligence (AI) to digital pathology. The availability of WSI in the …

Aptamer-assisted protein orientation on silver magnetic nanoparticles: application to sensitive leukocyte cell-derived chemotaxin 2 surface plasmon resonance …

H Zhu, Y Lu, J Xia, Y Liu, J Chen, J Lee, K Koh… - Analytical …, 2022 - ACS Publications
Leukocyte cell-derived chemotaxin 2 (LECT2) has been proved to be a potential biomarker
for the diagnosis of liver fibrosis. In this work, a sensitive surface plasmon resonance (SPR) …

Large-scale identification of undiagnosed hepatic steatosis using natural language processing

CV Schneider, T Li, D Zhang, AI Mezina, P Rattan… - …, 2023 - thelancet.com
Background Nonalcoholic fatty liver disease (NAFLD) is a major cause of liver-related
morbidity in people with and without diabetes, but it is underdiagnosed, posing challenges …

An unsupervised transfer learning model based on convolutional auto encoder for non-alcoholic steatohepatitis activity scoring and fibrosis staging of liver …

MA Karagoz, B Akay, A Basturk, D Karaboga… - Neural Computing and …, 2023 - Springer
Non-alcoholic fatty liver disease (NAFLD) is one of the most frequent chronic liver diseases
worldwide. Non-alcoholic steatohepatitis (NASH) is a progressive type of NAFLD that may …

Digital pathology for nonalcoholic steatohepatitis assessment

AJ Sanyal, P Jha, DE Kleiner - Nature Reviews Gastroenterology & …, 2024 - nature.com
Histological assessment of nonalcoholic fatty liver disease (NAFLD) has anchored
knowledge development about the phenotypes of the condition, their natural history and …

Prompting Vision Foundation Models for Pathology Image Analysis

C Yin, S Liu, K Zhou, VWS Wong… - Proceedings of the …, 2024 - openaccess.thecvf.com
The rapid increase in cases of non-alcoholic fatty liver disease (NAFLD) in recent years has
raised significant public concern. Accurately identifying tissue alteration regions is crucial for …