Biomedical Imaging's Real Bottleneck Is the Data, Not the Model
Summary
The primary bottleneck in medical imaging AI is fragmented data infrastructure rather than model architecture. Scaling clinical and R&D impact requires a governed lakehouse foundation to centralize imaging assets, de-identify scans at scale, and link them directly with EHR, omics, and trial data.
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