iSono Health, headquartered in South San Francisco, California, operates within the medical equipment manufacturing sector by developing an artificial intelligence-driven platform for breast cancer detection. The company has created a portable and wearable ultrasound system designed to facilitate early diagnosis and ongoing monitoring for women alongside their physicians. This patented compact scanner captures three-dimensional quantitative ultrasound images by automatically scanning the entire breast volume in approximately two minutes per side, operating without the need for a skilled sonographer.
The system integrates with a laptop to transmit data to a secure cloud environment for processing and storage. Radiologists can access the resulting images through a simple URL-based viewer from any location. A machine-learning algorithm within the platform analyzes acoustic biomarkers to identify abnormal masses. This automated approach expands the utility of ultrasound in point-of-care diagnostics and breast health monitoring across radiology centers, walk-in clinics, and mobile units.
The iSono Health solution provides a radiation-free examination method that is painless and completed rapidly. The device offers actionable feedback through its AI capabilities and allows any healthcare professional to perform the scan easily. By combining automated operation with advanced software, the platform aims to increase access to breast health services in diverse clinical settings.