Scientists develop an AI-powered system that speeds up kidney cancer diagnosis

A research team from the University of Tartu in Estonia has successfully developed an innovative system called BMVision, which relies on artificial intelligence technologies to enhance the accuracy and speed of diagnosing kidney tumors.

This innovation, highlighted by the journal Communications Medicine, serves as an advanced technical support tool for radiologists. It enables them to detect both malignant and benign lesions through efficient analysis of computed tomography (CT) images, even during routine examinations not specifically intended for tumor detection.

Clinical trials conducted at Tartu University Hospital, involving the analysis of more than 2,400 radiological readings, showed that the new system helped improve the quality of medical reports and standardize diagnostic criteria among physicians.

According to the recorded data, the technology succeeded in reducing the time required for scanning and measurement procedures by one third—33%—thereby lowering the likelihood of human error caused by workload pressure and accelerating life-saving treatment decisions.

Researchers Dmytro Fishman and Pelevi Elvis emphasized that the primary goal of this system is to address the global shortage of radiology specialists by providing digital support that enhances clinical performance without replacing human expertise.

After obtaining the European CE conformity marking, the system has begun to be actively integrated into daily medical practice, with expectations to expand its use to cover all abdominal imaging examinations in the near future.