To main content

Artificial Intelligence-guided Point-Of-Care Ultrasound for Combat Casualty Care — AI POCUS CCC

AI POCUS CCC aims to enhance military triage and combat causality care (CCC). Creating artificial intelligence (AI)-guided ultrasound solutions to contribute to faster diagnoses, improved treatment outcomes, and reduced unnecessary evacuations from combat zones.

Contact person

The focus will be on AI-guidance of the Extended Focused Assessment with Sonography in Trauma (E-FAST) procedure. The project builds on the AI POCUS AAA which uses AI to assist healthcare providers with limited ultrasound experience in diagnosing abdominal aortic aneurysms.

The primary goal is to create AI-driven solutions that enable military medical personnel to perform accurate ultrasound examinations in the field, reducing the need for extensive training and ensuring rapid, targeted treatment and triage. The E-FAST procedure is crucial for detecting internal bleeding, pleural effusion, cardiac tamponade, and pneumothorax.

Using advanced AI techniques, the project will develop real-time segmentation and tracking of abdominal structures. We will work closely with military personnel and trauma personnel to ensure that the solutions will be tailored to military needs, including robustness against data attacks and independence from cloud services.

Key facts

Project duration

2024 - 2027

Funding

The Research Council of Norway

Partners

The project is a collaboration between SINTEF Digital, St. Olavs Hospital, and the Norwegian Armed Forces Medical Services.

Explore research areas

Project workers

Mathilde Gajda Faanes

Mathilde Gajda Faanes

Master of Science
Sigrid Berg

Sigrid Berg

Research Manager
Lars Eirik Bø

Lars Eirik Bø

Senior Research Scientist