Siemens Healthineers and DeepHealth, Inc. announced a strategic collaboration aimed at transforming ultrasound operations through the implementation of SmartTechnology by embedding AI-powered health informatics within workflows and imaging hardware. The collaboration will combine Siemens Healthineers? Acuson Sequoia ultrasound system, RadNet?s expertise in high-volume outpatient care, and DeepHealth?s SmartSonography solution powered by the cloud-native DeepHealth OS to tackle workflow and workforce challenges for enhanced operational efficiency and better patient experience.

SmartSonography is designed to include: a remote-acquisition platform that will enable real-time scanning, assistance, training, monitoring, and protocol standardization across an imaging fleet from a single interface, intending to facilitate seamless collaboration and resource scaling in complex healthcare environments, efficient patient management and enhanced clinical confidence; a cloud-native enterprise viewer accessible from anywhere that will combine essential Picture Archive and Communication Systems (PACS) functionality with cloud-native technology for fast image streaming and seamless access to data with the aim to increase diagnostic accuracy and consistency. Siemens Healthineers harnesses AI to make ultrasound exams faster, smarter and more accessible to healthcare settings worldwide, including underserved areas. Siemens Healthineers has recently refreshed its Ultrasound portfolio and has a fleet of systems that are designed with AI and future development in mind.

The company is focused on cardiology, including leadership in interventional cardiology, and adiology/general imaging with unique offerings for liver, breast, vascular and MSK. On December 1, 2024, the Acuson Sequoia 3.5 was introduced with a first-of-its-kind AI Abdomen feature that automatically labels and measures organs in milliseconds to improve standardization, and brings new capabilities in breast and MSK imaging. Together, Siemens Healthineers and DeepHealth are committed to exploring next-generation ultrasound solutions that would enhance the diagnostic process, dramatically reduce scan time and operator-dependant variability, and enable better patient care.