[HTML][HTML] Development and validation of a feature extraction-based logical anthropomorphic diagnostic system for early gastric cancer: A case-control study

J Li, Y Zhu, Z Dong, X He, M Xu, J Liu, M Zhang… - …, 2022 - thelancet.com
Background Prompt diagnosis of early gastric cancer (EGC) is crucial for improving patient
survival. However, most previous computer-aided-diagnosis (CAD) systems did not …

[HTML][HTML] Establishing machine learning models to predict curative resection in early gastric cancer with undifferentiated histology: development and usability study

CS Bang, JY Ahn, JH Kim, YI Kim, IJ Choi… - Journal of medical …, 2021 - jmir.org
Background Undifferentiated type of early gastric cancer (U-EGC) is included among the
expanded indications of endoscopic submucosal dissection (ESD); however, the rate of …

Accurate diagnosis and prognosis prediction of gastric cancer using deep learning on digital pathological images: A retrospective multicentre study

B Huang, S Tian, N Zhan, J Ma, Z Huang, C Zhang… - …, 2021 - thelancet.com
Background To reduce the high incidence and mortality of gastric cancer (GC), we aimed to
develop deep learning-based models to assist in predicting the diagnosis and overall …

Artificial intelligence in gastroenterology: where are we heading?

JJY Sung, NCH Poon - Frontiers of medicine, 2020 - Springer
Artificial intelligence (AI) is coming to medicine in a big wave. From making diagnosis in
various medical conditions, following the latest advancements in scientific literature …

Artificial intelligence-assisted gastroenterology—promises and pitfalls

JK Ruffle, AD Farmer, Q Aziz - … journal of the American College of …, 2019 - journals.lww.com
Technological advances in artificial intelligence (AI) represent an enticing opportunity to
benefit gastroenterological practice. Moreover, AI, through machine or deep learning …

[HTML][HTML] Artificial intelligence for the prediction and early diagnosis of pancreatic cancer: Scoping review

Z Jan, F El Assadi, A Abd-Alrazaq, PV Jithesh - Journal of Medical Internet …, 2023 - jmir.org
Background Pancreatic cancer is the 12th most common cancer worldwide, with an overall
survival rate of 4.9%. Early diagnosis of pancreatic cancer is essential for timely treatment …

Deep learning model for diagnosing gastric mucosal lesions using endoscopic images: development, validation, and method comparison

JY Nam, HJ Chung, KS Choi, H Lee, TJ Kim… - Gastrointestinal …, 2022 - Elsevier
Background and Aims Endoscopic differential diagnoses of gastric mucosal lesions (benign
gastric ulcer, early gastric cancer [EGC], and advanced gastric cancer) remain challenging …

Computational intelligence in cancer diagnostics: a contemporary review of smart phone apps, current problems, and future research potentials

S Jain, D Naicker, R Raj, V Patel, YC Hu, K Srinivasan… - Diagnostics, 2023 - mdpi.com
Cancer is a dangerous and sometimes life-threatening disease that can have several
negative consequences for the body, is a leading cause of mortality, and is becoming …

Spotting malignancies from gastric endoscopic images using deep learning

JH Lee, YJ Kim, YW Kim, S Park, Y Choi, YJ Kim… - Surgical …, 2019 - Springer
Background Gastric cancer is a common kind of malignancies, with yearly occurrences
exceeding one million worldwide in 2017. Typically, ulcerous and cancerous tissues …

Automated detection of gastric cancer by retrospective endoscopic image dataset using u-net r-cnn

A Teramoto, T Shibata, H Yamada, Y Hirooka, K Saito… - Applied Sciences, 2021 - mdpi.com
Upper gastrointestinal endoscopy is widely performed to detect early gastric cancers. As an
automated detection method for early gastric cancer from endoscopic images, a method …