Application of artificial intelligence for improving early detection and prediction of therapeutic outcomes for gastric cancer in the era of precision oncology

Z Wang, Y Liu, X Niu - Seminars in Cancer Biology, 2023 - Elsevier
Gastric cancer is a leading contributor to cancer incidence and mortality globally. Recently,
artificial intelligence approaches, particularly machine learning and deep learning, are …

Recent advances in applying machine learning and deep learning to detect upper gastrointestinal tract lesions

M Vania, BA Tama, H Maulahela, S Lim - IEEE Access, 2023 - ieeexplore.ieee.org
The clinical application of a real-time artificial intelligence (AI) image processing system to
diagnose upper gastrointestinal (GI) malignancies remains an experimental research and …

Deep learning system compared with expert endoscopists in predicting early gastric cancer and its invasion depth and differentiation status (with videos)

L Wu, J Wang, X He, Y Zhu, X Jiang, Y Chen… - Gastrointestinal …, 2022 - Elsevier
Background and Aims We aimed to develop and validate a deep learning–based system
that covers various aspects of early gastric cancer (EGC) diagnosis, including detecting …

Real-time use of artificial intelligence for diagnosing early gastric cancer by magnifying image-enhanced endoscopy: a multicenter diagnostic study (with videos)

X He, L Wu, Z Dong, D Gong, X Jiang, H Zhang… - Gastrointestinal …, 2022 - Elsevier
Background and Aims Endoscopy is a pivotal method for detecting early gastric cancer
(EGC). However, skill among endoscopists varies greatly. Here, we proposed a deep …

Systematic review and meta-analysis: Artificial intelligence for the diagnosis of gastric precancerous lesions and Helicobacter pylori infection

E Dilaghi, E Lahner, B Annibale, G Esposito - Digestive and Liver Disease, 2022 - Elsevier
Background The endoscopic diagnosis of Helicobacter-pylori (H. pylori) infection and gastric
precancerous lesions (GPL), namely atrophic-gastritis and intestinal-metaplasia, still …

Artificial intelligence for upper gastrointestinal endoscopy: a roadmap from technology development to clinical practice

F Renna, M Martins, A Neto, A Cunha, D Libânio… - Diagnostics, 2022 - mdpi.com
Stomach cancer is the third deadliest type of cancer in the world (0.86 million deaths in
2017). In 2035, a 20% increase will be observed both in incidence and mortality due to …

Gastric intestinal Metaplasia: challenges and the opportunity for precision prevention

D Tjandra, RA Busuttil, A Boussioutas - Cancers, 2023 - mdpi.com
Simple Summary Gastric adenocarcinoma is the fifth most common cancer worldwide and
the fourth most lethal. It is often asymptomatic at an early stage, when survival rates are …

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 …

A benchmark dataset of endoscopic images and novel deep learning method to detect intestinal metaplasia and gastritis atrophy

J Yang, Y Ou, Z Chen, J Liao, W Sun… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Endoscopy has been routinely used to diagnose stomach diseases including intestinal
metaplasia (IM) and gastritis atrophy (GA). Such routine examination usually demands …

A deep learning and natural language processing-based system for automatic identification and surveillance of high-risk patients undergoing upper endoscopy: a …

J Li, S Hu, C Shi, Z Dong, J Pan, Y Ai, J Liu… - …, 2022 - thelancet.com
Background Timely identification and regular surveillance of patients at high risk are crucial
for early diagnosis of upper gastrointestinal cancer. However, traditional manual …