Artificial Intelligence Enhancing the Efficiency and Effectiveness of Cancer Prevention and Screening
Regina Beets-Tan
Europe has the AI tools to catch cancer earlier. Only 5 percent of its hospitals actually use them. That gap, not the technology, is what Professor Regina Beets-Tan came to talk about.Speaki...
Europe has the AI tools to catch cancer earlier. Only 5 percent of its hospitals actually use them. That gap, not the technology, is what Professor Regina Beets-Tan came to talk about.
Speaking as a radiologist working at the front of imaging AI, Professor Beets-Tan lays out where artificial intelligence is already changing prevention and early detection, and why the harder problem now is deployment rather than invention. She frames the shift from morphology to integrated, multimodal diagnostics, and makes the case that moving these tools into routine care is a leadership challenge, not a technical one. The moment to act, she argues, is now.
Key points for clinicians:
Europe holds one-tenth of the world's population but 25 percent of its cancer cases, and per-person cancer care costs in the EU are projected to rise more than 50 percent by 2050.
In a landmark breast screening trial, adding AI raised cancer detection by 29 percent with no increase in recalls or false positives, while cutting reading workload by nearly half.
Half of screen-detected colorectal cancers are stage 1, which raises the case for organ preservation and for targeted imaging such as FAPI-PET to find small tumor volumes.
Roughly 75 percent of FDA-approved AI tools are in imaging, yet only 5 percent of hospitals have deployed them, and the barriers are mostly organizational.
Her COMPASS AI project, tied to the EU Apply AI strategy, is building the guidelines and network to move validated tools from research into practice.