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20:27, 24 March 2026
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Russian Scientists Train AI to Detect Breast Cancer at Early Stages

Researchers in St. Petersburg have developed an AI system that flags early signs of breast cancer on CT scans, reducing diagnostic errors and eliminating the need for repeat testing.

Photo: iStock

Scientists from Saint Petersburg Electrotechnical University “LETI” (SPbGETU LETI) together with experts from the Almazov National Medical Research Centre have developed a clinical decision support system called OncoDetect AI.

The team trained a neural network to identify early-stage breast cancer using CT scans. The system was trained on 65 studies and 7,000 anonymized images from the Almazov National Medical Research Centre database. Each study contained breast cancer lesions, though not every scan slice showed tumors. In testing, the AI model covered the core tasks of breast cancer diagnosis and workflow management.

Faster and More Accurate

“The system works as follows. A patient undergoes a CT scan at a clinic. The images are sent to a server, where the neural network automatically processes them and highlights fragments with signs of cancer. The images are then forwarded to the physician’s workstation, where the final diagnosis is made. In effect, analyzing a study takes just a few minutes, depending on the volume of data,” said project lead Denis Stepanenko, a master’s student at the Faculty of Computer Science and Technology.

The developers say the system improves both the speed and accuracy of examinations while removing the need for repeat diagnostics.

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