News Summary:
On July 23, 2026, Hoppr expanded its medical imaging AI portfolio by bringing its fifth foundation model, the EF Chest CT Narrative Model, to its AI Foundry portfolio, adding chest CT capability. This model processes 3D chest CT volumes and generates narrative language describing findings across pulmonary, mediastinal, cardiac, upper abdominal, osseous, and soft-tissue regions, having been trained on a proprietary dataset from multiple U.S. clinical sites with an emphasis on less common but serious conditions. Previously, on July 13, Hoppr introduced its MC Chest Radiography Narrative Model (MC CXR Narrative Model), a vision language platform that translates chest X-ray images into descriptive, structured text, designed as a foundational software component for developers. Earlier, on July 6, Hoppr launched the commercial availability of its Presto Agent, an artificial intelligence tool developed to integrate AI-generated draft reporting into existing radiology reporting systems without requiring new software or platform migrations.
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