7/10/24

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

The integration of AI within clinical environments transcends simple data analysis, encompassing a complex interplay of multidimensional data, technological frameworks, procedural nuances, and interdisciplinary collaboration.

The Clinical AI Readiness Evaluator (CARE) framework is a rigorous methodology to navigate and optimize this intricate landscape. Through its adoption, we can enhance the efficacy, responsibility, and sustainability of healthcare innovations.

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Bridging the Clinical-computational Divide

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