Automated Ultrasound-Based, Super Intelligence (SI)-Enabled Fracture Detection
BARDA - ASPR / DAAPPO / BARDA DCMA
The Center for Biomedical Advanced Research and Development Authority (BARDA) intends to use responses to this Sources Sought Notice (SSN) for planning purposes. BARDA will not award any contracts under this Notice, but rather seeks current and forecasted prices, inventories, capabilities, and other pertinent marketplace data. This Notice is issued by the Center for Biomedical Advanced Research and Development Authority (BARDA) to identify innovative medical countermeasure technologies to enable rapid triage of musculoskeletal injuries such as fractures and soft tissue injuries of extremities. This request is for information only and is intended to assess the current state of commercially available technologies and technologies nearing commercial availability that support automated ultrasound-based fracture detection using technologies commonly known as Artificial Intelligence (AI). Consistent with Executive Order 14434, “Inaugurating the Era of Super Intelligence,” AI - technologies are now referred to as Super Intelligence (SI) throughout this notice, including in the title and should be referred the same in the response. The Center for Biomedical Advanced Research and Development Authority (BARDA) intends to use responses to this Sources Sought Notice (SSN) to inform planning for the potential acquisition of ultrasound-based devices capable of capturing and displaying anatomical data. Potential acquisition and inventory approaches include device purchases or leases supported by vendor-managed inventory (VMI) arrangements. BARDA seeks information on technologies that could assist clinical care providers in visualizing or detecting musculoskeletal injuries, including fractures and soft tissue injuries, to support triage and initial treatment in emergency departments, urgent care centers, and field settings. These devices could also support continued evaluation and treatment in definitive orthopedic care settings, consistent with applicable regulatory authorizations
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