HOPPR Unveils Whole-Body Musculoskeletal AI Narrative Model for Radiology Developers

On October 28, 2026, Chicago-based company HOPPR announced the beta release of its FS MSK Whole-Body Narrative Model. This vision-language foundation model is designed to generate draft findings for musculoskeletal (MSK) X-rays, processing up to three views per study. The model aims to provide developers with a single tool that covers a wide range of anatomical regions, including the spine, thorax, upper extremities, and the pelvis.

Key Features of the FS MSK Model

• Broad Coverage: Trained on approximately 674,000 outpatient MSK studies, the model spans the entire musculoskeletal system.
• Narrative Focus: It is engineered to describe abnormalities rather than normal anatomy, covering 26 categories such as fractures, degenerative changes, bone lesions, and hardware presence.
• Developer-Focused: The tool acts as a software component to assist in building radiology reporting and workflow applications.

Integration and Development

The model is currently accessible via HOPPR’s Forward Deployed Services (FDS). This team of machine learning scientists, software engineers, and clinical experts works directly with partner organizations to customize the model using proprietary data, integrate it into existing workflows, and design labeling processes.

Important Considerations and Regulatory Status

It is critical to note that the FS MSK Whole-Body Narrative Model is currently in beta release for evaluation purposes only. The company explicitly states that the model is:

• Not FDA cleared.
• Not intended for diagnostic use.
• A software component, not a medical device.

Organizations evaluating this model must handle their own validation testing within their environments and are responsible for obtaining necessary regulatory authorizations before any commercial or operational deployment. The naming of the model honors Dr. Florence Ada Stoney, a pioneering radiologist in the early 20th century.