7/10/24

Bridging the Clinical-computational Divide

The gap between pathologists and computer scientists in digital pathology often results in a misalignment of clinical needs and computational solutions. While pathologists may hesitate to adopt computer-aided diagnostic (CAD) tools due to limited understanding of their design and purpose, computer scientists may develop technically proficient algorithms that lack clinical relevance. A standardized framework for aligning clinical goals with computational execution can bridge this divide, fostering a shared language between disciplines. This approach aims to facilitate more synergistic collaborations that advance healthcare through clinically optimized digital pathology solutions.

Previous

Embracing the Multimodal Nature of Clinical AI Deployment: A Comprehensive TRL-Based Approach to Avoid Wastefulness and Ensure Responsible Innovation

Next

The Role of Biobanking in Personalized Medicine and AI-enabled Translational Pathology Research