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