GE HealthCare, BARDA Expand AI Ultrasound Collaboration
GE HealthCare is expanding its partnership with the U.S. Biomedical Advanced Research and Development Authority (BARDA) to advance AI-powered ultrasound technology. The collaboration, which includes an additional $35 million in funding, aims to develop faster and more accurate diagnostics for acute and emergency care settings.
- This expanded agreement builds on a prior $44 million contract from October 2023, which initiated the development of AI-powered, point-of-care ultrasound for mass casualty incidents. The goal is to create systems that enable caregivers with varying skill levels to quickly triage patients and identify traumatic injuries to organs like the lungs and abdomen. - The technology's development leverages GE HealthCare's 2023 acquisition of Caption Health. Caption Health was the first company to receive FDA approval for an AI-guided medical imaging acquisition system, designed to help non-specialists capture diagnostic-quality cardiac ultrasound images. - This collaboration focuses on point-of-care ultrasound (POCUS), a market segment projected to grow significantly as care shifts to outpatient and non-hospital settings. The global POCUS market was valued at $3.24 billion in 2022 and is projected to reach $5.9 billion by 2030. - The AI-guidance feature is a key element, intended to "democratize" ultrasound by reducing dependency on highly trained sonographers, a critical factor given widespread staffing shortages. AI tools can help novice users with image acquisition, interpretation, and workflow optimization. - This initiative is part of a broader trend of increased FDA clearances for AI in medical imaging, with radiology being the specialty with the most approved algorithms. As of late 2025, the FDA had approved over 1,000 AI tools for clinical imaging settings. - BARDA's funding extends beyond GE HealthCare, indicating a strategic federal interest in AI-powered diagnostics for emergency preparedness. For instance, BARDA also awarded RIVANNA $9.92 million to develop an AI module for detecting bone fractures and soft tissue abnormalities. - The push for mobile and AI-enhanced imaging aligns with reimbursement trends, such as site-neutral payment policies, that are driving procedures out of more expensive hospital settings and into freestanding imaging centers. This shift is particularly evident in states like Florida, Arizona, and Colorado.
