A new study published in the scientific journal Nature Communications demonstrates how artificial intelligence (AI) can aid doctors in selecting more effective treatments for Helicobacter pylori (H. pylori). A highly prevalent bacterial infection and a significant contributor to gastric cancer.

The study, led by members of the AIDA consortium and based on data from over 45,000 patients collected through the European Registry on Helicobacter pylori Management (Hp-EuReg), introduces a reinforcement learning-based AI system that significantly improves eradication outcomes. AI-recommended therapies reached a 94.1% success rate. Compared to 88.1% for conventional approaches, this demonstrates its transformative potential for real-world clinical use. This new AI system exemplifies how AIDA is assisting doctors in making better decisions and enhancing patient care. It’s a powerful tool that could someday be used throughout Europe to prevent gastric cancer before it develops.

This research is part of the AIDA project, a European initiative supported by the EU, where experts from across Europe, including doctors, researchers, data scientists, and patient advocates, are working together to prevent gastric cancer by improving how chronic gastric inflammation is diagnosed and treated.

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Authors:

Laura Urena

Ana Martins