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 …
artificial intelligence approaches, particularly machine learning and deep learning, are …
Introducing AI to the molecular tumor board: one direction toward the establishment of precision medicine using large-scale cancer clinical and biological information
R Hamamoto, T Koyama, N Kouno, T Yasuda… - … hematology & oncology, 2022 - Springer
Abstract Since US President Barack Obama announced the Precision Medicine Initiative in
his New Year's State of the Union address in 2015, the establishment of a precision …
his New Year's State of the Union address in 2015, the establishment of a precision …
Deep learning-based clinical decision support system for gastric neoplasms in real-time endoscopy: development and validation study
Background Deep learning models have previously been established to predict the
histopathology and invasion depth of gastric lesions using endoscopic images. This study …
histopathology and invasion depth of gastric lesions using endoscopic images. This study …
Recent advances in applying machine learning and deep learning to detect upper gastrointestinal tract lesions
The clinical application of a real-time artificial intelligence (AI) image processing system to
diagnose upper gastrointestinal (GI) malignancies remains an experimental research and …
diagnose upper gastrointestinal (GI) malignancies remains an experimental research and …
[HTML][HTML] Computer-aided diagnosis of gastrointestinal ulcer and hemorrhage using wireless capsule endoscopy: systematic review and diagnostic test accuracy meta …
CS Bang, JJ Lee, GH Baik - Journal of Medical Internet Research, 2021 - jmir.org
Background Interpretation of capsule endoscopy images or movies is operator-dependent
and time-consuming. As a result, computer-aided diagnosis (CAD) has been applied to …
and time-consuming. As a result, computer-aided diagnosis (CAD) has been applied to …
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 …
convolutional neural network (CNN) in diagnosing gastric cancer and predicting the …
Application of CNN in the diagnosis for the invasion depth of gastrointestinal cancer: a systematic review and meta-analysis
R Wu, K Qin, Y Fang, Y Xu, H Zhang, W Li, X Luo… - Journal of …, 2024 - Elsevier
Background With the development of endoscopic technology, endoscopic submucosal
dissection (ESD) has been widely used in the treatment of gastrointestinal tumor. It is …
dissection (ESD) has been widely used in the treatment of gastrointestinal tumor. It is …
Deep learning and gastric cancer: systematic review of AI-assisted endoscopy
Background: Gastric cancer (GC), a significant health burden worldwide, is typically
diagnosed in the advanced stages due to its non-specific symptoms and complex …
diagnosed in the advanced stages due to its non-specific symptoms and complex …
Deep-learning for the diagnosis of esophageal cancers and Precursor Lesions in endoscopic images: a Model Establishment and Nationwide Multicenter …
Background: Suspicion of lesions and prediction of the histology of esophageal cancers or
premalignant lesions in endoscopic images are not yet accurate. The local feature selection …
premalignant lesions in endoscopic images are not yet accurate. The local feature selection …
Computer-aided diagnosis of gastrointestinal protruded lesions using wireless capsule endoscopy: A systematic review and diagnostic test accuracy meta-analysis
Background: Wireless capsule endoscopy allows the identification of small intestinal
protruded lesions, such as polyps, tumors, or venous structures. However, reading wireless …
protruded lesions, such as polyps, tumors, or venous structures. However, reading wireless …