Title:
Flopatch Doppler Intelligence
Agreement Number:
1033604
Agreement Value:
$186,000.00
Agreement Date:
Jul 1, 2025 - Mar 31, 2026
Description:
This project aims to develop and validate machine learning algorithms that can automatically segment and interpret internal jugular and carotid blood flow signals captured by the FloPatch wearable Doppler ultrasound sensor. The resulting solution will provide clinicians with a non-invasive, objective tool to assess jugular venous pressure (JVP) and right heart function, improving fluid management in both acute and ambulatory care settings.
Organization:
National Research Council Canada
Expected Results:
The NRC IRAP Artificial Intelligence (AI) Assist Program aims to equip and support SMEs to incorporate AI into their core products and services and/or undertake scientific research, product development, testing, and validation. AI Assist aims to increase the number, the quality, and the competitiveness of Generative AI (Gen AI), Deep Neural Nets (DNN), and Deep Learning (DL) products created and delivered by SMEs.
Location:
Sudbury, Ontario, CA P3E 2H2
Reference Number:
172-2025-2026-Q2-1033604
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
815794995
Recipient Type:
For-profit organization
Recipient's Operating Name:
FLOSONICS MEDICAL
Recipient's Legal Name:
1929803 Ontario Corp.
Federal Riding Name:
Sudbury
Federal Riding Number:
35103
Program:
Industrial Research Assistance Program – AI Assist
Program Purpose:
The NRC IRAP Artificial Intelligence (AI) Assist Program aims to equip and support SMEs to incorporate AI into their core products and services and/or undertake scientific research, product development, testing, and validation. AI Assist aims to increase the number, the quality, and the competitiveness of Generative AI (Gen AI), Deep Neural Nets (DNN), and Deep Learning (DL) products created and delivered by SMEs.
Coverage:
The AI Assist program is designed to help innovative SMEs navigate the challenges of developing and adapting generative AI (GenAI) and deep learning (DL) solutions and to assist SMEs with awareness, planning and execution in order to develop these technologies safely and ethically.