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Scaling AI-enabled imaging-based screening: lessons from reporting for the NHS England lung cancer screening
S S Hare1, G R E Robinson2, A Tavare3
1The HLH Imaging Group LTD, Ruislip, Middlesex, UK; Department of Radiology, Royal Free London NHS Foundation Trust, London, UK.
Clinical Radiology
|August 7, 2026
Summary
The NHS England Lung Cancer Screening Programme demonstrates a scalable model for low-dose computed tomography (LDCT) screening, improving early lung cancer detection and mortality reduction through advanced IT and a national radiologist network.
Area of Science:
- Radiology
- Public Health
- Health Informatics
Background:
- Lung cancer is a leading global cause of cancer death.
- Low-dose computed tomography (LDCT) screening significantly reduces lung cancer mortality.
- The NHS England Lung Cancer Screening Programme is the largest national LDCT implementation to date.
Purpose of the Study:
- To describe the technical and workforce architecture supporting large-scale interpretation of LDCT scans.
- To assess the transferability of this model to other imaging-based screening programmes.
Main Methods:
- Utilized cloud-native, vendor-agnostic imaging IT to integrate fragmented systems.
- Established a virtual national specialist network of consultant radiologists for centralized interpretation.
- Integrated artificial intelligence (AI) for nodule detection and volumetry with post-deployment monitoring.
Main Results:
- The program issued over 2.5 million invitations, diagnosing 7,193 cancers, with 63.1% detected at stage I.
- Supported over one million studies since 2020, processing >41,000 scans monthly with >99% turnaround within 72 hours.
- Demonstrated successful integration of IT, a specialist network, and AI for efficient and accountable screening.
Conclusions:
- The NHS LDCT screening model provides a scalable and transferable archetype for imaging-based screening.
- Key components include integrated IT, a national specialist network, and AI, enabling efficient, high-quality interpretation.
- This approach is adaptable for future screening programmes like prostate MRI, CT colonography, and cardiac CT.