Empowering Radiologists in Cancer Diagnostics with Artificial Intelligence
There is already a major shortage of radiologists who analyse CT scans for cancer diagnostics. Radiologists spend too much time on manual and repetitive tasks, such as manually measuring lesions, using inadequate tooling. As the i...
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Información proyecto BMAI
Duración del proyecto: 25 meses
Fecha Inicio: 2023-11-13
Fecha Fin: 2025-12-31
Líder del proyecto
BETTER MEDICINE OU
No se ha especificado una descripción o un objeto social para esta compañía.
Presupuesto del proyecto
4M€
Fecha límite de participación
Sin fecha límite de participación.
Descripción del proyecto
There is already a major shortage of radiologists who analyse CT scans for cancer diagnostics. Radiologists spend too much time on manual and repetitive tasks, such as manually measuring lesions, using inadequate tooling. As the incidence of cancer is expected to grow 27.4% over the next 10 years (according to WHO), the pressure on radiologists will only increase, leading to misdiagnosis or delay in diagnosis with potentially fatal consequences.
With Better Medicine Artificial Intelligence, the time radiologists spend on interpreting cancer-related CT scans is reduced by 40-60% by automating a range of repetitive tasks to significantly streamline workflows. We help reduce the shortage of radiologists, while saving lives with timely and accurate diagnostics.
Our solution is the first AI-powered tool for radiologists that takes the full-body approach and enables dynamic assessment of tumours, overcoming the biggest shortcomings of current offerings on the market.