News & Events
Explore our latest news, insights, and events.
Building Patient Trust in AI-Powered Breast Screening
DeepHealth, a RadNet Subsidiary, Receives FDA Clearance for Remote Scanning Solution, TechLive™
Somerville, MA, – August 7, 2025, DeepHealth, Inc., a wholly-owned subsidiary of RadNet, Inc. (NASDAQ: RDNT) and global leader in AI-powered health informatics, announced today that it has received FDA 510(k) clearance for TechLive™ – a remote scanning solution enabling centralized operation and supervision of MR, CT, PET/CT, and Ultrasound procedures.
How AI is Transforming Neurodegenerative Disease Detection and Management
The human brain is one of medicine’s most complex and undiscovered frontiers. Find out how brain health, with the help of AI, could become as visible, measurable, and meaningful as other aspects of healthcare.
Reimagining population health: Fighting disease before it takes hold
RadNet, Inc. Acquires See-Mode Technologies for Innovation in AI-Powered Ultrasound Diagnostics
Los Angeles, CA – June 4, 2025, RadNet, Inc. (NASDAQ: RDNT) (“RadNet”), a national leader in providing high-quality, cost-effective diagnostic imaging services and digital health solutions through its wholly-owned subsidiary DeepHealth, announced today that it has completed the acquisition of See-Mode Technologies PTE LTD (“See-Mode”), a global innovator in AI for ultrasound imaging.
Future trends in AI-powered radiology
We are only beginning to harness AI’s transformative potential, not only to improve disease detection but also to reduce unnecessary imaging and ensure high-quality radiology care is available and accessible for more patients. Find out what five AI trends in radiology that we expect to see more of in the not-too-distant future.
Leading the AI revolution in healthcare
In an era where technology is reshaping healthcare, DeepHealth stands at the forefront. Kees Wesdorp, President and CEO of DeepHealth, shares his insights on the pivotal role of artificial intelligence (AI) and advanced informatics in revolutionizing imaging-based care for real-world impact.
33° Congresso Nazionale AINR
