Biomedical Imaging's Real Bottleneck Is the Data, Not the Model

This post identifies the primary bottleneck in biomedical imaging AI as data accessibility and integration, rather than model complexity. It outlines the challenges posed by PACS silos and the need to integrate multi-omics data. The proposed solution is to build a stronger data foundation that enables R&D across various healthcare and pharmaceutical sectors. While not detailing specific technical implementations, it frames the problem and the high-level requirements for a system that can unify and manage diverse biomedical imaging and related datasets.