AI Model for Chest CT Exams from HOPPR
HOPPR has launched a new foundation model designed to generate narrative descriptions for 3D chest CT scans. The tool aims to assist radiologists by processing complex imaging data across multiple anatomical regions.
Why it matters
This technology represents a significant step in automating diagnostic reporting for complex medical imaging, potentially increasing efficiency in radiology departments.
HOPPR EF Chest CT Narrative Model is a foundation model that processes 3D chest CT volumes and generates narrative language describing image characteristics across pulmonary, mediastinal, cardiac, upper abdominal, osseous, and soft tissue regions.
July 23, 2026 — HOPPR has introduced HOPPR EF Chest CT Narrative Model, a foundation model that processes 3D chest CT volumes and generates narrative language describing image characteristics across pulmonary, mediastinal, cardiac, upper abdominal, osseous, and soft tissue regions. The model is now available through HOPPR Forward Deployed Services, giving development teams expert support across every stage from evaluation to integration.
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