AISAP offers a POCAD™ solution that applies deep-learning AI to medical ultrasound, delivering automated diagnoses and specialized analyses such as valve-level cardiovascular assessments. The product provides an urgency score to help providers prioritize cases and a scan-quality score to ensure accuracy for operators less familiar with traditional ultrasound devices. Its deep-learning models are designed to yield accurate readings even from lower-quality images produced by handheld machines. The company reports its algorithms were trained on more than 300,000 studies comprising over 24 million video clips, and the technology has been validated by medical experts at The Mayo Clinic, Inova Health Foundation, Jefferson Health, Poriya Institute and others. AISAP plans to use the new funding to expand operations and accelerate development efforts. Leadership includes CEO Roni Attali and cofounders Adiel Am-Shalom, Ehud Raanani, Robert Klempfner and Ehud Schwammenthal.

Total raised

$13M

Funding rounds

1

Latest round

Seed

Latest activity

May 2024