Artificial intelligence in precision medicine in hepatology

TH Su, CH Wu, JH Kao - Journal of Gastroenterology and …, 2021 - Wiley Online Library
The advancement of investigation tools and electronic health records (EHR) enables a
paradigm shift from guideline‐specific therapy toward patient‐specific precision medicine …

Deep learning for noninvasive liver fibrosis classification: A systematic review

R Anteby, E Klang, N Horesh, I Nachmany… - Liver …, 2021 - Wiley Online Library
Abstract Background and Aims While biopsy is the gold standard for liver fibrosis staging, it
poses significant risks. Noninvasive assessment of liver fibrosis is a growing field. Recently …

A systematic review on intracranial aneurysm and hemorrhage detection using machine learning and deep learning techniques

SN Ahmed, P Prakasam - Progress in Biophysics and Molecular Biology, 2023 - Elsevier
The risk of discovering an intracranial aneurysm during the initial screening and follow-up
screening are reported as around 11%, and 7% respectively (Zuurbie et al., 2023) to these …

[HTML][HTML] Artificial intelligence and lung cancer: impact on improving patient outcomes

Z Gandhi, P Gurram, B Amgai, SP Lekkala… - Cancers, 2023 - mdpi.com
Simple Summary In this comprehensive review, we aimed to summarize the advances made
by artificial intelligence in the field of lung cancer screening, diagnosis, and management …

[HTML][HTML] Physician sentiment toward artificial intelligence (AI) in colonoscopic practice: a survey of US gastroenterologists

V Wadhwa, M Alagappan, A Gonzalez… - Endoscopy …, 2020 - thieme-connect.com
Background and study aims Early studies have shown that artificial intelligence (AI) has the
potential to augment the performance of gastroenterologists during endoscopy. Our aim was …

[HTML][HTML] Scope of artificial intelligence in screening and diagnosis of colorectal cancer

H Goyal, R Mann, Z Gandhi, A Perisetti, A Ali… - Journal of clinical …, 2020 - mdpi.com
Globally, colorectal cancer is the third most diagnosed malignancy. It causes significant
mortality and morbidity, which can be reduced by early diagnosis with an effective screening …

Explainable machine learning model for predicting GI bleed mortality in the intensive care unit

F Deshmukh, SS Merchant - … journal of the American College of …, 2020 - journals.lww.com
METHODS: We analyzed the patient data in the Electronic Intensive Care Unit Collaborative
Research Database and extracted data for 5,691 patients (mean age= 67.4 years; 61 …

[HTML][HTML] Artificial intelligence in gastrointestinal endoscopy

AP Abadir, MF Ali, W Karnes… - Clinical …, 2020 - synapse.koreamed.org
Artificial intelligence (AI) is rapidly integrating into modern technology and clinical practice.
Although in its nascency, AI has become a hot topic of investigation for applications in …

[HTML][HTML] Challenges and opportunities in the application of artificial intelligence in gastroenterology and hepatology

CD Christou, G Tsoulfas - World journal of gastroenterology, 2021 - ncbi.nlm.nih.gov
Artificial intelligence (AI) is an umbrella term used to describe a cluster of interrelated fields.
Machine learning (ML) refers to a model that learns from past data to predict future data …

[HTML][HTML] Artificial intelligence-assisted esophageal cancer management: Now and future

YH Zhang, LJ Guo, XL Yuan, B Hu - World journal of …, 2020 - ncbi.nlm.nih.gov
Esophageal cancer poses diagnostic, therapeutic and economic burdens in high-risk
regions. Artificial intelligence (AI) has been developed for diagnosis and outcome prediction …