Pathologists may be slow to adopt computer aided diagnostic (CAD) tools due to limited comprehension of their design and purpose. Similarly, computer scientists may develop algorithms that, while technically proficient, lack clinical relevance. Better pathologist understanding of computational terminology and processes can foster building better CADs that are optimized for clinical purpose.

Our proposed framework offers a standardized approach for aligning clinical goals with their computational execution.

We hope to facilitate a shared language between computational scientists and pathologists, bridging the existing gap to ensure more synergistic, healthcare-forwarding collaborations in digital pathology.