Standalone performance of artificial intelligence for upper GI neoplasia: a meta-analysis

J Arribas, G Antonelli, L Frazzoni, L Fuccio, A Ebigbo… - Gut, 2021 - gut.bmj.com
Objective Artificial intelligence (AI) may reduce underdiagnosed or overlooked upper GI
(UGI) neoplastic and preneoplastic conditions, due to subtle appearance and low disease …

Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: a multicentre, case-control, diagnostic study

H Luo, G Xu, C Li, L He, L Luo, Z Wang, B Jing… - The Lancet …, 2019 - thelancet.com
Background Upper gastrointestinal cancers (including oesophageal cancer and gastric
cancer) are the most common cancers worldwide. Artificial intelligence platforms using deep …

The impact of artificial intelligence in the endoscopic assessment of premalignant and malignant esophageal lesions: present and future

DC Lazăr, MF Avram, AC Faur, A Goldiş, I Romoşan… - Medicina, 2020 - mdpi.com
In the gastroenterology field, the impact of artificial intelligence was investigated for the
purposes of diagnostics, risk stratification of patients, improvement in quality of endoscopic …

Artificial intelligence-based diagnostic system classifying gastric cancers and ulcers: comparison between the original and newly developed systems

K Namikawa, T Hirasawa, K Nakano, Y Ikenoyama… - …, 2020 - thieme-connect.com
Background We previously reported for the first time the usefulness of artificial intelligence
(AI) systems in detecting gastric cancers. However, the “original convolutional neural …

How to integrate artificial intelligence in gastrointestinal practice

H Messmann, A Ebigbo, C Hassan, A Repici… - …, 2022 - gastrojournal.org
Artificial intelli-gence (AI) is expected to assist us by mimicking the process of human
learning. The hope is that AI will significantly improve our GI-practice from image …

A single-center prospective study evaluating the usefulness of artificial intelligence for the diagnosis of esophageal squamous cell carcinoma in a real-time setting

Y Tani, R Ishihara, T Inoue, Y Okubo, Y Kawakami… - BMC …, 2023 - Springer
Background Several pre-clinical studies have reported the usefulness of artificial
intelligence (AI) systems in the diagnosis of esophageal squamous cell carcinoma (ESCC) …

[HTML][HTML] Overview of deep learning in gastrointestinal endoscopy

JK Min, MS Kwak, JM Cha - Gut and liver, 2019 - ncbi.nlm.nih.gov
Artificial intelligence is likely to perform several roles currently performed by humans, and
the adoption of artificial intelligence-based medicine in gastroenterology practice is …

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 …

Current status and future perspective on artificial intelligence for lower endoscopy

M Misawa, S Kudo, Y Mori, Y Maeda… - Digestive …, 2021 - Wiley Online Library
The global incidence and mortality rate of colorectal cancer remains high. Colonoscopy is
regarded as the gold standard examination for detecting and eradicating neoplastic lesions …

Accuracy of artificial intelligence‐assisted detection of esophageal cancer and neoplasms on endoscopic images: a systematic review and meta‐analysis

SM Zhang, YJ Wang, ST Zhang - Journal of Digestive Diseases, 2021 - Wiley Online Library
Objective To investigate systematically previous studies on the accuracy of artificial
intelligence (AI)‐assisted diagnostic models in detecting esophageal neoplasms on …