[HTML][HTML] Artificial intelligence in gastric cancer: A translational narrative review

C Yu, EJ Helwig - Annals of translational medicine, 2021 - ncbi.nlm.nih.gov
Increasing clinical contributions and novel techniques have been made by artificial
intelligence (AI) during the last decade. The role of AI is increasingly recognized in cancer …

[PDF][PDF] Applying machine learning in liver disease and transplantation: a comprehensive review

A Spann, A Yasodhara, J Kang, K Watt, BO Wang… - …, 2020 - Wiley Online Library
Machine learning (ML) utilizes artificial intelligence to generate predictive models efficiently
and more effectively than conventional methods through detection of hidden patterns within …

The role of AI technology in prediction, diagnosis and treatment of colorectal cancer

C Yu, EJ Helwig - Artificial intelligence review, 2022 - Springer
Artificial intelligence (AI) is a fascinating new technology that incorporates machine learning
and neural networks to improve existing technology or create new ones. Potential …

Application of machine learning based on structured medical data in gastroenterology

HJ Kim, EJ Gong, CS Bang - Biomimetics, 2023 - mdpi.com
The era of big data has led to the necessity of artificial intelligence models to effectively
handle the vast amount of clinical data available. These data have become indispensable …

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 …

Machine learning modeling from omics data as prospective tool for improvement of inflammatory bowel disease diagnosis and clinical classifications

B Stankovic, N Kotur, G Nikcevic, V Gasic, B Zukic… - Genes, 2021 - mdpi.com
Research of inflammatory bowel disease (IBD) has identified numerous molecular players
involved in the disease development. Even so, the understanding of IBD is incomplete, while …

Artificial intelligence for the prevention and clinical management of hepatocellular carcinoma

J Calderaro, TP Seraphin, T Luedde, TG Simon - Journal of hepatology, 2022 - Elsevier
Hepatocellular carcinoma (HCC) currently represents the fifth most common malignancy and
the third-leading cause of cancer-related death worldwide, with incidence and mortality rates …

[HTML][HTML] Artificial intelligence for hepatitis evaluation

W Liu, X Liu, M Peng, GQ Chen, PH Liu… - World journal of …, 2021 - ncbi.nlm.nih.gov
Recently, increasing attention has been paid to the application of artificial intelligence (AI) to
the diagnosis of diverse hepatic diseases, which comprises traditional machine learning and …

[HTML][HTML] Artificial intelligence in liver cancers: Decoding the impact of machine learning models in clinical diagnosis of primary liver cancers and liver cancer …

A Bakrania, N Joshi, X Zhao, G Zheng, M Bhat - Pharmacological research, 2023 - Elsevier
Liver cancers are the fourth leading cause of cancer-related mortality worldwide. In the past
decade, breakthroughs in the field of artificial intelligence (AI) have inspired development of …

[HTML][HTML] Artificial Intelligence in Colorectal Cancer: From Patient Screening over Tailoring Treatment Decisions to Identification of Novel Biomarkers

NG Reitsam, JS Enke, K Vu Trung, B Märkl, JN Kather - Digestion, 2024 - karger.com
Background: Artificial intelligence (AI) is increasingly entering and transforming not only
medical research but also clinical practice. In the last 10 years, new AI methods have …