[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 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 …

Performance comparison of the deep learning and the human endoscopist for bleeding peptic ulcer disease

HH Yen, PY Wu, PY Su, CW Yang, YY Chen… - Journal of Medical and …, 2021 - Springer
Purpose Management of peptic ulcer bleeding is clinically challenging. Accurate
characterization of the bleeding during endoscopy is key for endoscopic therapy. This study …

[HTML][HTML] Artificial intelligence: Emerging player in the diagnosis and treatment of digestive disease

HY Chen, P Ge, JY Liu, JL Qu, F Bao… - World Journal of …, 2022 - ncbi.nlm.nih.gov
Given the breakthroughs in key technologies, such as image recognition, deep learning and
neural networks, artificial intelligence (AI) continues to be increasingly developed, leading to …

Current status of artificial intelligence-based computer-assisted diagnosis systems for gastric cancer in endoscopy

K Ochiai, T Ozawa, J Shibata, S Ishihara, T Tada - Diagnostics, 2022 - mdpi.com
Artificial intelligence (AI) is gradually being utilized in various fields as its performance has
been improving with the development of deep learning methods, availability of big data, and …

Diagnostic accuracy of convolutional neural network–based endoscopic image analysis in diagnosing gastric cancer and predicting its invasion depth: a systematic …

F Xie, K Zhang, F Li, G Ma, Y Ni, W Zhang… - Gastrointestinal …, 2022 - Elsevier
Background and Aims This study aimed to evaluate the accuracy and effectiveness of the
convolutional neural network (CNN) in diagnosing gastric cancer and predicting the …

Current status and future perspective of artificial intelligence in the management of peptic ulcer bleeding: a review of recent literature

HH Yen, PY Wu, MF Chen, WC Lin, CL Tsai… - Journal of clinical …, 2021 - mdpi.com
With the decreasing incidence of peptic ulcer bleeding (PUB) over the past two decades, the
clinician experience of managing patients with PUB has also declined, especially for young …

Current status and future perspective of artificial intelligence applications in endoscopic diagnosis and management of gastric cancer

T Hirasawa, Y Ikenoyama, M Ishioka… - Digestive …, 2021 - Wiley Online Library
Image recognition using artificial intelligence (AI) has progressed significantly due to
innovative technologies such as machine learning and deep learning. In the field of gastric …

Diagnosis of gastric lesions through a deep convolutional neural network

L Zhang, Y Zhang, L Wang, J Wang… - Digestive Endoscopy, 2021 - Wiley Online Library
Background and Aims A deep convolutional neural network (CNN) was used to achieve fast
and accurate artificial intelligence (AI)‐assisted diagnosis of early gastric cancer (GC) and …

Artificial intelligence and its impact on quality improvement in upper and lower gastrointestinal endoscopy

P Sinonquel, T Eelbode, P Bossuyt, F Maes… - Digestive …, 2021 - Wiley Online Library
Artificial intelligence (AI) and its application in medicine has grown large interest. Within
gastrointestinal (GI) endoscopy, the field of colonoscopy and polyp detection is the most …