iSono Health's AI-powered ATUSA system automates breast cancer screening

Addressing Gaps in Breast Cancer Care

Breast cancer care faces challenges including low screening rates, a shortage of radiologists, and delays in treatment planning. Companies in the NVIDIA Inception program are developing AI applications to support clinicians in imaging, risk assessment, and treatment planning to address these issues.

Automated Imaging with ATUSA

iSono Health's ATUSA platform is an FDA-cleared wearable, automated 3D quantitative ultrasound system. It captures a standardized breast volume in approximately two minutes per breast, significantly faster than the up to 45 minutes required for a conventional handheld ultrasound.

The system's AI, trained on thousands of full-breast scans, automates image acquisition and uses NVIDIA GPU acceleration. The company states that its 3D scan is 28% more sensitive than a handheld 2D ultrasound.

Improved Consistency and Accessibility

Unlike handheld ultrasound, which depends on operator technique, ATUSA captures the entire breast consistently each time. This creates a repeatable view of breast tissue, which can help clinicians analyze changes across successive scans and reduce operator errors and variability.

ATUSA is commercially available through partner clinics in California, Texas, Georgia, Tennessee, and Washington D.C., with plans for further expansion, aiming to make screening more accessible to patients.