New AI tool helps radiologists detect kidney tumours faster
The CE-marked BMVision system is now being integrated into clinical workflows, making it the first commercially available AI solution for early and accurate kidney cancer detection.
Researchers at the University of Tartu and Better Medicine developed an AI tool that speeds up kidney cancer detection and aids radiologists in analysing CT scans. The system, BMVision, was validated in a study published in Nature Communications Medicine.
BMVision utilises machine learning to identify both malignant and benign lesions, enabling radiologists to detect tumours faster and more accurately. In trials at Tartu University Hospital, six radiologists reviewed 200 CT scans with and without AI assistance.
Results showed that AI reduced detection and reporting time by roughly one third, while maintaining high diagnostic accuracy.
The tool complements radiologists, letting them focus on complex cases and improve patient outcomes. CE marking confirms BMVision meets European standards, making it the first commercial AI tool for early kidney cancer detection.
BMVision is now being integrated into clinical workflows at Tartu University Hospital, with the potential to process all abdominal CT scans in the future. Experts say the system demonstrates how AI can make a meaningful impact in routine medical practice and improve early cancer diagnosis.
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