OmiKG to Be Presented at AMIA 2026: Original Thinking Shaping the Future of Systems Medicine

Building on this challenge, OmiKG (Omi Knowledge Graph) was developed to create a medical knowledge platform that connects healthcare data, scientific evidence, and causal relationships. Its goal is to enable earlier disease risk detection, support personalized care, and improve clinical decision-making through a more comprehensive understanding of patient health.

Recently, research on OmiKG was selected for presentation at the AMIA 2026 Annual Symposium (American Medical Informatics Association), which will be held in the United States this November. AMIA is one of the world's leading academic forums in biomedical informatics and digital health, bringing together researchers and practitioners from top universities, hospitals, and research institutions, including Stanford University, Harvard Medical School, Mayo Clinic, and many other pioneering organizations worldwide.

Being selected to present at AMIA not only recognizes the novelty and scientific merit of OmiKG's approach, but also creates an opportunity for research developed in Vietnam to contribute to international discussions on the future of medicine and healthcare.

From Disease Treatment to Proactive Health Management

Unlike conventional information retrieval systems, OmiKG digitizes causal relationships by comprehensively connecting lifestyle, nutrition, environmental factors, medical history, and laboratory test results for each individual. This approach helps reveal the underlying mechanisms of disease, enabling healthcare providers to:

• Help clinicians better understand the root causes of chronic diseases through the lens of Functional Medicine.
• Personalize care plans and health interventions for each individual.
• Identify health risks before they develop into clinically apparent symptoms.
• Support healthcare providers and insurers in transitioning from treatment- or claims-based models to proactive health management and disease prevention.

As healthcare systems worldwide shift toward preventive medicine and personalized care, this approach represents a promising direction for creating long-term value for patients, clinicians, and healthcare organizations.

Pioneering a Causal Knowledge Infrastructure for the Next Generation of Medicine

Around the world, many organizations are applying AI to unlock the value of healthcare data. However, relatively few are pursuing the development of comprehensive causal knowledge infrastructures designed specifically to support Functional Medicine and Systems Medicine.

OmiKG serves as a "medical reasoning map" that explores disease mechanisms at their root causes. It represents one of OmiGroup's core technology initiatives, laying the foundation for a preventive, evidence-based approach to healthcare.

During internal evaluation, OmiKG identified disease mechanisms in 88% of the benchmark dataset, compared with 6% for GPT-5.2 and 0% for retrieval-augmented generation (RAG) systems. For OmiGroup, however, these figures represent more than a technological comparison. More importantly, they reflect recognition of the team's original research direction, as demonstrated by the selection of the OmiKG study for presentation at AMIA 2026.

Importantly, in the paper submitted to AMIA, OmiGroup also transparently acknowledged the current limitations of the system, particularly in Clinical Utility and Citation Fidelity, while outlining a clear roadmap for future improvements:

• Enhancing clinical applicability through collaboration with Clinical Advisors at the National Institute of Nutrition.
• Improving citation accuracy and expanding the underlying knowledge base to support future commercial deployment.

By openly reporting both its achievements and its current limitations, OmiGroup demonstrates its commitment to an evidence-based research methodology throughout the development of OmiKG.

A Foundation for the Next Generation of HealthTech

The selection of OmiKG for presentation at AMIA 2026 represents more than an academic milestone. It provides an opportunity to validate, refine, and exchange new ideas on applying artificial intelligence and knowledge graphs in healthcare.

As one of the world's premier forums in biomedical informatics, AMIA brings together leading institutions such as Stanford University, Harvard Medical School, Mayo Clinic, and many other globally recognized research centers. OmiKG's participation demonstrates that research and innovation developed in Vietnam can actively contribute to international scientific dialogue and help address shared challenges in global healthcare.

For OmiGroup, AMIA 2026 marks an important milestone in its journey to build a knowledge infrastructure for Systems Medicine. The company's long-term vision is to empower people with a deeper understanding of their own health and enable more informed, proactive healthcare decisions for the future.