A centralized, multi-modality, vendor-neutral, AI-powered remote-acquisition
platform that enables collaborative remote scanning across an imaging fleet within the radiology ecosystem,
easily deployed through a self-service, cost-effective infrastructure.
Remote Scanning Technologists, who are certified and licensed, can remotely access imaging devices from
a computer via a secure software connection that streams video and audio, and provides access to
keyboard and mouse controls. This setup allows remote technologists to assist local in-suite assistants
or technologists in performing remote acquisitions. Local in-suite assistants maintain control through a
computer through a local in-suite assistance touch interface, granting and revoking remote access as
needed. Access is granted on-demand or ahead of time to access the scanner. The qualifications of both
remote scanning technologists and local in-suite assistants adhere to local regulations and clinical
practices of health systems.
Join DeepHealth for an exclusive Lunch and Learn session at the course designed for radiologists facing the challenge of performing breast imaging in an ever-changing medical environment. This year features hands-on AI integration across over 240 mammography and tomosynthesis cases, and you’ll discover how DeepHealth's solutions enhance screening accuracy and workflow efficiency. Our session will demonstrate practical AI applications to improve diagnostic confidence. Connect with us to explore how our technology supports radiologists in delivering high-quality breast imaging in today's evolving medical environment.
Join DeepHealth at the 31st ESTI Annual Scientific Meeting to explore our AI-powered thoracic imaging solutions. With the meeting's focus on practical AI applications, discover how our advanced algorithms enhance diagnostic capabilities for lung screening. Our team will demonstrate seamless integration with existing workflows and show how leading European institutions are leveraging DeepHealth's technology to transform chest imaging and improve patient outcomes.
Vienna, Austria, 26 February 2025 – DeepHealth, Inc., a global leader in AI-powered health informatics and a wholly-owned subsidiary of RadNet, Inc. (Nasdaq: RDNT), will introduce next-generation AI-powered radiology informatics and population screening solutions at the European Congress of Radiology (ECR) 2025 in Vienna. With the aim of empowering breakthroughs in care enabled by imaging, DeepHealth’s suite of solutions addresses critical clinical and operational challenges experienced by healthcare providers around the world.
Disclaimers:
Not all products and functionalities are commercially available in all countries. For clearance and commercial
availability in your geography of functionalities listed and compatibility with other systems, please contact us