Empowering Radiologists in Cancer Diagnostics with Artificial Intelligencebroad
BMAI · Horizon Europe grant · 2024-01-01–2026-06-30
EC contribution
Total cost
Beneficiaries
About the data
Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-EIC-2023-ACCELERATOR-01 · scheme HORIZON-EIC-ACC-BF · topic HORIZON-EIC-2023-ACCELERATOROPEN-01. CORDIS record →
Objective
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.
Beneficiaries (1)
| Organisation | Country | Role | EC contribution | SME |
|---|---|---|---|---|
| BETTER MEDICINE OU | EE | coordinator | €2,499,875 | Yes |
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