Recent trends in Helicobacter pylori management: harnessing the power of AI and other advanced approaches

TA Addissouky, Y Wang, IET El Sayed, AE Baz… - Beni-Suef University …, 2023 - Springer
Background Helicobacter pylori (H. pylori) is a bacterial infection that is prevalent and affects
more than half of the world's population, causing stomach disorders such as gastritis, peptic …

The role of staging laparoscopy for gastric cancer patients: current evidence and future perspectives

CA Schena, V Laterza, D De Sio, G Quero, C Fiorillo… - Cancers, 2023 - mdpi.com
Simple Summary The presence of peritoneal carcinomatosis in patients with advanced
gastric cancer has important implications for the management of this disease. For this …

[HTML][HTML] Artificial intelligence in cancer care: From diagnosis to prevention and beyond

M Farrokhi, A Moeini, F Taheri, M Farrokhi, M Mostafavi… - Kindle, 2023 - preferpub.org
Artificial Intelligence (AI) has made significant strides in revolutionizing cancer care,
encompassing various aspects from diagnosis to prevention and beyond. With its ability to …

[HTML][HTML] Artificial intelligence in the pathology of gastric cancer

S Choi, S Kim - Journal of Gastric Cancer, 2023 - ncbi.nlm.nih.gov
Recent advances in artificial intelligence (AI) have provided novel tools for rapid and precise
pathologic diagnosis. The introduction of digital pathology has enabled the acquisition of …

[HTML][HTML] Artificial intelligence in gastrointestinal endoscopy: a comprehensive review

H Ali, MA Muzammil, DS Dahiya, F Ali… - Annals of …, 2024 - ncbi.nlm.nih.gov
Integrating artificial intelligence (AI) into gastrointestinal (GI) endoscopy heralds a significant
leap forward in managing GI disorders. AI-enabled applications, such as computer-aided …

The value of machine learning approaches in the diagnosis of early gastric cancer: a systematic review and meta-analysis

Y Shi, H Fan, L Li, Y Hou, F Qian, M Zhuang… - World Journal of …, 2024 - Springer
Background The application of machine learning (ML) for identifying early gastric cancer
(EGC) has drawn increasing attention. However, there lacks evidence-based support for its …

[HTML][HTML] Deciphering gastric inflammation-induced tumorigenesis through multi-omics data and AI methods

Q Zhang, M Yang, P Zhang, B Wu, X Wei… - Cancer Biology & …, 2024 - ncbi.nlm.nih.gov
Gastric cancer (GC), the fifth most common cancer globally, remains the leading cause of
cancer deaths worldwide. Inflammation-induced tumorigenesis is the predominant process …

[PDF][PDF] Enhancing Prediction Accuracy in Gastric Cancer Using High-Confidence Machine Learning Models for Class Imbalance

D Jamil… - Journal of Advances …, 2023 - pdfs.semanticscholar.org
Gastric Cancer (GC) diagnosis and prognosis present significant challenges in the clinical
industry. To address the issue of low prediction accuracy resulting from imbalanced positive …

[HTML][HTML] Navigating the Future: A Comprehensive Review of Artificial Intelligence Applications in Gastrointestinal Cancer

S Mukherjee, S Vagha, P Gadkari - Cureus, 2024 - ncbi.nlm.nih.gov
This comprehensive review explores the transformative role of artificial intelligence (AI) in
the realm of gastrointestinal cancer. Gastrointestinal cancers present unique challenges …

Diagnosis to dissection: AI's role in early detection and surgical intervention for gastric cancer

TM Pattilachan, M Christodoulou, S Ross - Journal of Robotic Surgery, 2024 - Springer
Gastric cancer remains a formidable health challenge worldwide; early detection and
effective surgical intervention are critical for improving patient outcomes. This …