February 18, 2026 (Global) – and the U.S. Biomedical Advanced Research and Development Authority (BARDA), part of the Administration for Strategic Preparedness and Response within the U.S. Department of Health and Human Services, have expanded their collaboration with a $35 million investment to accelerate the development of artificial intelligence‑powered ultrasound technologies designed for trauma assessment and emergency preparedness. This expanded agreement builds on an existing programme first announced in October 2023 and is part of broader efforts to enhance diagnostic speed, usability and clinical decision‑making in high‑pressure care settings.
“Responding to a mass casualty incident demands speed, precision and access to care, especially in high‑pressure environments like emergency departments, field hospitals, and medical transport,” said Philip Rackliffe, President and CEO of Advanced Visualization Solutions at GE HealthCare. “Our strategic alignment with BARDA enables us to continue to drive ultrasound innovation through advanced AI tools and specialised hardware designed for the front lines of care.”
Under the expanded contract, which is structured as a cost‑share between GE HealthCare and BARDA with the latter providing the majority of funding, the programme will develop multiple AI‑enabled tools aimed at enhancing diagnostic workflows and reducing operator dependency — particularly for non‑expert users in frontline care. These innovations are expected to support more detailed assessments of lung pathologies such as pleural conditions and improve detection of intra‑abdominal injuries critical to effective trauma triage and treatment.
A key focus of the initiative is to design point‑of‑care ultrasound (POCUS) systems that are both reliable and easy to use in demanding environments, including emergency rooms, field‑based care settings and medical transport scenarios. By combining AI‑driven interpretation with portable hardware, the project aims to make advanced imaging more accessible outside traditional hospital settings and improve clinical outcomes when specialist ultrasound operators are not immediately available.
In addition to technology development, GE HealthCare plans to engage with clinicians and medical evaluation sites to generate real‑world evidence, inform iterative product enhancements and ensure solutions are shaped by practical clinical needs. This emphasis on collaboration with emergency medicine experts is expected to validate clinical utility, support broader adoption and further refine the tools before wider dissemination.
Industry observers note that the expanded BARDA collaboration reflects a broader trend toward AI‑enabled diagnostic automation, which can significantly support care delivery in resource‑limited and high‑intensity environments. By prioritising usability, speed and diagnostic confidence, the initiative aims to equip frontline providers with robust imaging solutions that help streamline workflow, elevate decision‑making and ultimately improve patient outcomes in trauma and emergency care.
