BIDFINDER

Sources Sought · BARDA-FY27-10192026

Automated Ultrasound-Based, Super Intelligence (SI)-Enabled Fracture Detection

Office of Assistant Secretary for Preparedness and Response · Washington, MO

This is a notice (Sources Sought), not a request for offers.

Agency
Office of Assistant Secretary for Preparedness and Response FederalBarda - Aspr / Daappo / Barda DCMA
Place
Washington, MO
Offers due
November 18, 2026, 1:00 PM (ET) closes in 9 days
Estimated value
not stated
Notice type
Sources Sought
Category
Medical and pharmaceutical
NAICS code
334510 Electromedical and Electrotherapeutic Apparatus Manufacturing
Product service code (PSC)
6525
Posted
October 20, 2026
Solicitation number
BARDA-FY27-10192026
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Description

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 and intended uses. The U.S. Department of Health and Human Services (HHS) leads Federal public health and medical preparedness and response efforts, including supporting the research, development, acquisition, and availability of medical countermeasures (MCMs). These efforts address the health consequences of chemical, biological, radiological, and nuclear (CBRN) threats, pandemic influenza, and emerging infectious diseases, including threats arising from deliberate, accidental, or naturally occurring events. This SSN supports planning for medical capabilities that could strengthen the Nation's preparedness for and response to emergencies involving traumatic injuries. The Project BioShield Act of 2004 (Pub. L. No. 108-276) established authorities for procuring qualifying security countermeasures for the Strategic National Stockpile (SNS). The Pandemic and All-Hazards Preparedness Act of 2006 (Pub. L. No. 109-417) further strengthened the Nation's medical countermeasure development and preparedness framework. The National Health Security Strategy 2023-2026 provides additional strategic context for strengthening preparedness, response, and recovery capabilities. Consistent with these preparedness objectives, this Sources Sought Notice seeks information on potential approaches to improve the availability and accessibility of relevant medical devices across health care settings. Approaches of interest include purchase, lease, vendor-managed inventory (VMI), and arrangements that combine access to devices with maintenance and readiness support. Information received will inform acquisition planning and assessment of these approaches, subject to applicable statutory authorities, acquisition requirements, and availability of funds. These documents represent the foundation for addressing the Nation's CBRN MCM needs. Amongst the foundational documents referenced above, musculoskeletal injuries such as fractures resulting from nuclear blast explosions and structural collapse, as well as and other mass casualty events present significant challenges in both field and clinical settings which require prompt diagnosis for adjudication and triage of patients. Current standards of care rely heavily on radiography and CT imaging, which are often unavailable, delayed, or resource-constrained in austere environments, disaster response settings, or during patient surge conditions. Delayed or missed fracture diagnosis can worsen patient outcomes and burden downstream care. BARDA is seeking solutions that enhance the speed, accuracy, and accessibility of fracture detection at the point of injury and point of care, without dependence on traditional imaging infrastructure. CAPABILITY STATEMENT/INFORMATION SOUGHT This Sources Sought Notice (SSN) seeks information from small business (SB) and other than small business (OTSB) concerns regarding their qualifications, experience, and capabilities to develop, manufacture, and deploy standalone, point-of-care, super intelligence (SI)-enabled ultrasound devices for fracture detection. Respondents shall provide only the information, data, and materials necessary to demonstrate their capabilities relevant to this notice. Responses shall include separate Technical Representation and Business Representation sections, as detailed below. Each section shall not exceed 10 single-sided pages, including all attachments, résumés, charts, and other supporting materials, and shall use 12-point Times New Roman font. Pages exceeding the limit for either section will not be reviewed. Respondents shall identify their business size status as either small business or other than small business under the NAICS code and corresponding size standard identified in this notice. Technical Representations Respondents shall provide the technical information requested by ASPR/BARDA in separately numbered sections, in the order listed below. For any section that does not apply, respondents shall retain the section number and heading, mark it "Not Applicable," and briefly explain why it does not apply. Response Specification In response to this notice, clearly describe the capability and experience that meets the criteria specified in the subsequent categories. A template is provided for detailed and concise responses as related to the qualifying criteria. Additional supporting evidence, data, and information can be provided as attachments, not to exceed the 10-page limit per submission to this notice. All sponsors responding to this notice are required to provide the requested information on their products and capabilities by providing short responses, summarizing their device's diagnostic capability along with performance data, TRL and development status, regulatory documentation, product IFU, manufacturing overview, and supply-chain and production information. The narrative response to the templated prompts may include figures, schematics, diagrams, photographs, etc. and shall describe the proposed final product under consideration. Any proposed device must qualify against the following criteria (either work completed or demonstratable work in progress): Display and Diagnostic of Anatomy for Fracture Evaluation Capability Automated ultrasound imaging-based volumetric capture and display of detailed anatomy of different structures and providing bone detection/identification in areas such as wrist, ankles and others; and assist care providers to visualize clinically significant injuries such as fractures. Embedded ultrasound image processing information with appropriately trained Super Intelligence and machine learning (SI/ML) models to assist in image acquisition and segmentation for data interpretation with predefined sensitivity/specificity performance, which has been reviewed and adjudicated in FDA submissions for 510k clearance process. Models must be rigorously tested/validated against independent datasets separate from their training and their performance must improve upon that of human ...

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