RSS
Логотип
Баннер в шапке 1
Баннер в шапке 2
Project

Sechenov University and RTK-Radiology have developed an AI module for planning thoracic operations

Customers: First Moscow State Medical University named after I.M. Sechenov (First Moscow State Medical University)

Moscow; Pharmaceuticals, Medicine, Healthcare

Contractors: RTK Radiology
Product: RTK Radiology: Software AI module for planning thoracic operations

Project date: 2025/07  - 2026/01

2026: Development of a module for preoperative planning of surgical interventions

Sechenov University and developer RTK-Radiology have completed the main stage of developing a software module for preoperative planning of surgical interventions on the chest organs. The software was tested in the clinics of Sechenov University. The university announced this on February 25, 2026.

The module analyzes the results of computed tomography and automatically performs segmentation of the lungs, bronchial, arterial and venous trees, detects and localizes neoplasms. Using interactive analysis tools, a surgeon can assess the functional consequences of potentially removing a particular pulmonary structure for a particular patient. According to the test results, the quality of pulmonary tissue segmentation reaches DICE score (segmentation accuracy factor) - 93%, the depth of coverage of bronchial tree branches - up to 96%, vascular tree coverage - up to 97%. The results of the analysis are saved as a report that can be added to the patient's electronic medical record.

File:Aquote1.png
We see this AI module as a tool for personalized oncosurgery. It allows you to move from visual evaluation to quantitative analysis of the anatomy of a particular patient and prediction of the functional consequences of surgery. This increases the validity of surgical decisions and forms a new standard for preoperative planning, - said the director of the Institute of Personalized Oncology, Professor Marina Sekacheva.
File:Aquote2.png

File:Aquote1.png
For the surgeon, it is critical to get a complete anatomical picture even before the operation - not only the location of the tumor, but also the topography of the vessels and bronchi. This approach allows to minimize the volume of resection, reduce the risks of intra- and postoperative complications and increase the predictability of the outcome, "said Evgeny Tarabrin, director of the Hospital Surgery Clinic at Sechenov University.
File:Aquote2.png

{{quote 'The main purpose of the module is to reduce the risks to the patient by providing the surgeon with an objective, quantifiable assessment of the anatomical features of a particular patient. This is more than just imaging - it is the prognosis of postoperative respiratory function and the calculation of functional losses after resection. This approach is especially important in complex individual cases, when standard protocols are insufficient, "added Aleksey Bychenkov, Deputy Technical Director of RTK Radiology. }}

The module was developed in collaboration with practicing thoracic surgeons and doctors. radiologists The system works on the basis DIGIPAX Unified Radiological Information System and can be used medical in institutions of the implementation regions. As of February 2026, active preparations are underway for the Module entry into the register; medical devices Roszdravnadzor it is planned that after receiving the marketing authorization, the solution will be available for implementation in federal and regional clinics.