Russian Scientists Develop AI Module for Lung Surgery Planning
The module gives surgeons an objective view of each patient’s anatomy before an operation.
Specialists at Sechenov University, together with experts from RTK Radiologiya, have developed an artificial intelligence-based software module designed to assist in planning thoracic surgeries, TASS reported, citing the university’s press service.
An Objective Picture
According to Alexey Bychenkov, deputy technical director at RTK Radiologiya, the primary goal of the module is to reduce patient risk. The system provides surgeons with an objective assessment and allows them to evaluate the anatomical characteristics of a specific patient.
The core development phase of the software has been completed, and the system has undergone testing.
The module analyzes computed tomography scans and automatically performs segmentation of the lungs, bronchial tree, arteries, and veins. It also detects and localizes tumors. Using interactive tools, surgeons can assess the potential consequences of removing specific lung structures.
Marina Sekacheva, director of the Institute for Personalized Oncology at Sechenov University, said the new module enables a shift from visual assessment to quantitative analysis of an individual patient’s anatomy and to forecasting surgical outcomes. This approach is expected to support more evidence-based surgical decisions.
A More Predictable Outcome
According to Evgeny Tarabrin, director of the Hospital Surgery Clinic at Sechenov University, it is critical for surgeons to see a complete anatomical picture before surgery. They need to know the exact location of the tumor, as well as the layout of vessels and bronchi.
Earlier reports noted that researchers at Volgograd State University are working on software aimed at improving cancer treatment outcomes.
