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.
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.
"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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