Introduction to artificial intelligence in medicine

Y Mintz, R Brodie - Minimally Invasive Therapy & Allied …, 2019 - Taylor & Francis
Abstract The term Artificial Intelligence (AI) was coined by John McCarthy in 1956 during a
conference held on this subject. However, the possibility of machines being able to simulate …

Application of artificial intelligence to gastroenterology and hepatology

C Le Berre, WJ Sandborn, S Aridhi, MD Devignes… - Gastroenterology, 2020 - Elsevier
Since 2010, substantial progress has been made in artificial intelligence (AI) and its
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …

[HTML][HTML] Application of artificial intelligence in gastroenterology

YJ Yang, CS Bang - World journal of gastroenterology, 2019 - ncbi.nlm.nih.gov
Artificial intelligence (AI) using deep-learning (DL) has emerged as a breakthrough
computer technology. By the era of big data, the accumulation of an enormous number of …

[HTML][HTML] Artificial intelligence in gastroenterology: A state-of-the-art review

PT Kröner, MML Engels, BS Glicksberg… - World journal of …, 2021 - ncbi.nlm.nih.gov
The development of artificial intelligence (AI) has increased dramatically in the last 20 years,
with clinical applications progressively being explored for most of the medical specialties …

Artificial intelligence using convolutional neural networks for real-time detection of early esophageal neoplasia in Barrett's esophagus (with video)

R Hashimoto, J Requa, T Dao, A Ninh, E Tran… - Gastrointestinal …, 2020 - Elsevier
Background and Aims The visual detection of early esophageal neoplasia (high-grade
dysplasia and T1 cancer) in Barrett's esophagus (BE) with white-light and virtual …

Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigm

G Krishnan, S Singh, M Pathania, S Gosavi… - Frontiers in Artificial …, 2023 - frontiersin.org
As the demand for quality healthcare increases, healthcare systems worldwide are
grappling with time constraints and excessive workloads, which can compromise the quality …

Application of artificial intelligence using a convolutional neural network for diagnosis of early gastric cancer based on magnifying endoscopy with narrow‐band …

H Ueyama, Y Kato, Y Akazawa… - Journal of …, 2021 - Wiley Online Library
Abstract Background and Aim Magnifying endoscopy with narrow‐band imaging (ME‐NBI)
has made a huge contribution to clinical practice. However, acquiring skill at ME‐NBI …

Deep learning analysis for the detection of pancreatic cancer on endosonographic images: a pilot study

R Tonozuka, T Itoi, N Nagata, H Kojima… - Journal of Hepato …, 2021 - Wiley Online Library
Abstract Background/Purpose The application of artificial intelligence to clinical diagnostics
using deep learning has been developed in recent years. In this study, we developed an …

Artificial intelligence in gastric cancer: a systematic review

P Jin, X Ji, W Kang, Y Li, H Liu, F Ma, S Ma… - Journal of cancer …, 2020 - Springer
Objective This study aims to systematically review the application of artificial intelligence (AI)
techniques in gastric cancer and to discuss the potential limitations and future directions of …

Artificial intelligence in endoscopy

Y Okagawa, S Abe, M Yamada, I Oda… - Digestive Diseases and …, 2022 - Springer
Artificial intelligence (AI) is rapidly developing in various medical fields, and there is an
increase in research performed in the field of gastrointestinal (GI) endoscopy. In particular …