Population Health
DeepHealth Lung
AI-powered nodule detection, reporting, and patient management for enhanced efficiency and accuracy in lung cancer diagnosis
DeepHealth Lung is an AI-powered solution designed to enhance lung cancer diagnosis and reporting. It integrates seamlessly into existing Picture Archiving and Communication Systems (PACS), offering both onsite and cloud deployment options to minimize workflow disruptions. Trained on over 40,000 scans, DeepHealth Lung automates the detection, classification, quantification, and growth assessment of pulmonary nodules, identifying solid and sub-solid nodules ranging from 3 to 30mm with 95% sensitivity and no more than two false positives per scan.
The system provides accurate measurements of nodule diameters and volumes, and can automatically retrieve prior scans to calculate growth percentage and volume doubling time. Widely adopted across nearly 100 locations in the UK and EU, including 41 out of 45 sites in the UK’s Targeted Lung Health Checks program, DeepHealth Lung processes over 50,000 scans monthly, delivering standardized, customizable, and shareable lung nodule reports to support efficient clinical workflows.
Seamless workflow integration
3 to 30 mm growth
Vendor agnostic
Direct PACS integration
Remote accessibility
Beyond The Diagnosis: Transforming Cancer Care Through Innovation
Find out how those who live with and work with cancer are rewriting the narrative in this digital series presented by Union for International Cancer Control and produced for them by BBC StoryWorks Commercial Productions.
The series explores innovative solutions for cancer prevention, diagnosis, treatment and care, and spotlights DeepHealth’s role in transforming lung cancer screening.
Learn more
RadNet Reports Record Financial Results for Second Quarter 2024
British Society of Thoracic Imaging (BSTI) Annual Society Meeting 2025
Visit DeepHealth at Stand 8 during the BSTI Annual Meeting to explore our AI-powered thoracic imaging solutions. Our team will demonstrate how our advanced algorithms enhance detection accuracy and streamline radiologist workflows for chest CT and X-ray interpretation. Experience firsthand how our technology can reduce reading time while improving diagnostic confidence.
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.