Sechenov University has launched a pilot project to evaluate an artificial intelligence module designed for planning lung surgeries. The software was developed in collaboration with RTK Radiology.
During the month-long trial, specialists will analyze anonymized CT scans from at least 30 patients. The system's automated results will be compared against expert clinical assessments.
The AI module generates interactive 3D models of lungs, identifying tumors, blood vessels, and bronchi. It also calculates predicted respiratory function following potential lung resection.
Previous testing of the technology showed high accuracy rates: 93% for lung tissue segmentation, 96% for bronchial tree coverage, and 97% for vascular tree coverage.
The university plans to integrate the technology into clinical practice by 2027. Developers are currently finalizing the documentation of the clinical trial results.
