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.
“I have reduced my chest CT reporting time by
about 50%. The volumetry is also fantastic; it saves me from manually performing the
analysis. Ultimately, a much more robust nodule follow-up –in half the time.”
Dr. Katharine Johnson
Consultant Radiologist at Salisbury NHS (UK)
“I love the detection indications. It’s a simple
yet effective solution that really helps me to report nodules faster. I know exactly where
to find them.”
Dr. Caroline McCann
Responsible Radiologist, Liverpool Heart and Chest Hospital (UK)
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Beyond The Diagnosis: Transforming Cancer Care Through
Innovation
Find out how those who live with and work with cancer are rewriting the
narrative in a brand-new 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.
Los Angeles, CA/Somerville, MA, February 25, 2025 – DeepHealth, Inc., a global leader in AI-powered health informatics and a wholly-owned subsidiary of RadNet, Inc. (Nasdaq: RDNT) and ConcertAI’s TeraRecon, a leader in medical imaging advanced visualization, clinical AI, and workflow automation, announced today a strategic collaboration to integrate certain capabilities to advance imaging tools and the radiology workflow.
DeepHealth has acquired Kheiron Medical Technologies Limited, a UK-based AI cancer diagnostic company focused on developing deep learning solutions to support radiologists improve breast cancer detection. Kheiron’s Mia® (Mammography Intelligent Assessment) suite of AI solutions for breast cancer screening is a strong fit with DeepHealth’s portfolio roadmap aimed at large-scale diagnostic and screening programs leveraging AI-powered health informatics solutions.
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.
Disclaimers:
DeepHealth Lung is manufactured as Veye Lung Nodules by Aidence BV for DeepHealth Inc., and
DeepHeath Lung Tracker is manufactured as Veye Clinic by Aidence BV for DeepHealth Inc.
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.