Segmed has shared an update. The company highlighted its participation with Microsoft at RSNA 2025, focusing on how foundation models are reshaping healthcare AI, particularly in medical imaging. The post outlined current obstacles to building such models—data silos, lack of standardization, complex de‑identification, large imaging file sizes, and bias from limited or non-diverse datasets. Segmed presented its platform as a solution, emphasizing secure de‑identification, searchable cohort building, cross‑provider standardization, and access to a more diverse dataset spanning all 50 U.S. states and 10 countries.
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For investors, this update underscores Segmed’s strategic positioning as an infrastructure and data-enablement provider for foundation models in healthcare, an area attracting growing interest and capital. The public collaboration with Microsoft, via a joint presentation featuring a senior product leader for multimodal healthcare AI, signals potential for deeper ecosystem integration and may enhance Segmed’s credibility with large enterprise and research customers. If Segmed can scale its standardized, de‑identified, multimodal datasets and maintain strong compliance and privacy safeguards, it could benefit from increasing demand from AI developers, device manufacturers, and healthcare institutions seeking training data for radiology and broader multimodal models. This could translate into recurring data-access or platform revenues and strengthen its competitive position among medical data platforms. However, the post does not disclose financial terms, customer counts, or contractual details with Microsoft, so the direct revenue impact remains uncertain and will depend on Segmed’s ability to convert this visibility into commercial agreements and long-term data partnerships in a competitive health data and AI infrastructure market.

