In October 2024, my co-founders and I set out to make our Ph.D. research useful in the real world. We had built AI models that could interpret medical images such as X-rays and CT scans across tens of thousands of potential diagnoses, generating comprehensive radiology reports that mirror how radiologists reason in clinical practice. At a time when AI in radiology was limited to flagging a handful of specific conditions, this marked a fundamental shift. Less than a year later, we faced a critical fork in the road: raise venture capital and continue independently, or accept an acquisition offer from Radiology Partners, the world's largest radiology practice. Clinical AI is highly regulated with long sales cycles and complex stakeholder dynamics, where structural advantages tend to harden market positions and compound over time. We decided that joining forces ' carefully structured to protect our velocity ' would dramatically improve the odds that we realize our mission of...
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