Canine chronic enteropathy—Current state-of-the-art and emerging concepts

AE Jergens, RM Heilmann - Frontiers in Veterinary Science, 2022 - frontiersin.org
Over the last decade, chronic inflammatory enteropathies (CIE) in dogs have received great
attention in the basic and clinical research arena. The 2010 ACVIM Consensus Statement …

SWOT analysis of noninvasive tests for diagnosing NAFLD with severe fibrosis: an expert review by the JANIT Forum

Y Kamada, T Nakamura, S Isobe, K Hosono… - Journal of …, 2023 - Springer
Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disease.
Nonalcoholic steatohepatitis (NASH) is an advanced form of NAFLD can progress to liver …

[HTML][HTML] AI-assisted Screening and Prevention Programs for Diseases

M Farrokhi, A Moeini, F Taheri, M Farrokhi… - Kindle, 2023 - preferpub.org
AI-assisted screening and prevention programs have the potential to revolutionize disease
management and improve public health outcomes. By harnessing the power of artificial …

The use of artificial intelligence in the diagnosis and classification of thyroid nodules: an update

M Ludwig, B Ludwig, A Mikuła, S Biernat, J Rudnicki… - Cancers, 2023 - mdpi.com
Simple Summary The amount of diagnosed thyroid nodules increases every year. Many
researchers have tried to optimize the process of classifying and diagnosing thyroid nodules …

A Systematic Literature Review of Advancements, Challenges and Future Directions of AI And ML in Healthcare

GS Nadella, S Satish, K Meduri, SS Meduri - International Journal of …, 2023 - ijsdcs.com
The most remarkable advancements in artificial intelligence (AI) plus machine learning (ML)
technologies with integration addicted to healthcare systems face several challenges in …

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] Embracing the future of physician-patient communication: GPT-4 in gastroenterology

AJ Nashwan, AA Abujaber, H Choudry - Gastroenterology & Endoscopy, 2023 - Elsevier
The integration of artificial intelligence (AI) into healthcare, particularly GPT-4, opens up
transformative opportunities for enhancing physician-patient communication, especially in …

Artificial intelligence and endo-histo-omics: new dimensions of precision endoscopy and histology in inflammatory bowel disease

M Iacucci, G Santacroce, I Zammarchi… - The Lancet …, 2024 - thelancet.com
Integrating artificial intelligence into inflammatory bowel disease (IBD) has the potential to
revolutionise clinical practice and research. Artificial intelligence harnesses advanced …

[HTML][HTML] Challenges involved in the application of artificial intelligence in gastroenterology: The race is on!

CD Christou, G Tsoulfas - World Journal of Gastroenterology, 2023 - ncbi.nlm.nih.gov
Gastroenterology is a particularly data-rich field, generating vast repositories of data that are
a fruitful ground for artificial intelligence (AI) and machine learning (ML) applications. In this …

[HTML][HTML] Machine learning insights concerning inflammatory and liver-related risk comorbidities in non-communicable and viral diseases

JA Martínez, M Alonso-Bernáldez… - World Journal of …, 2022 - ncbi.nlm.nih.gov
The liver is a key organ involved in a wide range of functions, whose damage can lead to
chronic liver disease (CLD). CLD accounts for more than two million deaths worldwide …