A real-world application of the Patient-Centered AI method.
This whitepaper demonstrates how AI can meaningfully improve lung nodule characterization, reduce unnecessary follow-ups, and support earlier detection.
It includes:
- clinical context and unmet need
- reasoning-aligned system architecture
- validation insights and real-world performance
- implications for screening pathways and workflow
Purpose: Show how patient-centered AI performs when tested against real diagnostic challenges.
Read the Whitepaper →(coming soon)