The results of another Hiveomics model have been confirmed through external validation

Previously, we published the results of developing a model capable of identifying intrapulmonary lymph nodes within the overall population of pulmonary nodules. Accurate classification of small solid nodules on chest computed tomography is critical for patients with an oncologic history, where distinguishing malignant lesions from benign structures directly affects clinical decision-making.

Intrapulmonary lymph nodes are a common but diagnostically challenging finding.

The performance of our model for the automatic identification of intrapulmonary nodules has undergone external validation at the Saint-Petersburg State Phthisiopulmonology Research Institute, an institution accredited by the Russian Federation Ministry of Health. This independent evaluation confirmed the high stability and reproducibility of the algorithm when applied to real-world medical imaging data.

These results were formally submitted and accepted for poster presentation at the European Congress of Radiology 2026 (ECR 2026) — one of the largest international events in radiology, which will take place March 4–8, 2026, in Vienna, Austria.

Presentation at ECR demonstrates that our work meets international standards and attracts interest from the global community of medical imaging and diagnostic professionals.

We look forward to welcoming you at the European Congress of Radiology 2026 (ECR 2026).