Screening360 2026: Advancing Diagnostic Screening Through Imaging, Pathology & AI

23-09-2026

Current Landscape and Challenges.

NHS screening programmes are central to the shift towards prevention and early diagnosis, yet delivery at scale remains inconsistent. Rising demand, workforce shortages and increasing diagnostic backlogs are placing significant strain across imaging, pathology and community screening services.

Date: 23rd September 2026

Times: 08:30 - 17:00

Venue: etc.venues, Prospero House, 241 Borough High St, London, SE1 1GA

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At the same time, systems are being asked to expand access, reduce inequalities and accelerate diagnosis across key pathways including cancer, cardiovascular and long term conditions. Screening programmes such as breast and cervical are under increasing pressure to improve uptake, turnaround times and diagnostic accuracy while maintaining public trust and clinical safety.

Fragmented data flows, limited interoperability and variable digital maturity continue to slow progress. The introduction of AI into screening pathways presents a significant opportunity, but also introduces new challenges around governance, workforce confidence and safe deployment at scale.

The challenge is no longer understanding what needs to change, but how to implement integrated, AI enabled and workforce sustainable screening models across imaging, pathology and population health systems.

Timeliness of the Event

With national focus intensifying on prevention, early detection and population health management, screening is now a critical lever for improving outcomes and reducing pressure on acute services.

AI enabled diagnostics, community diagnostic centres and targeted screening initiatives are already being deployed across the NHS, particularly within high impact areas such as breast and cervical screening. However, variation in adoption, pathway design and operational delivery remains significant.

There is a clear need to move beyond pilots and isolated innovation towards standardised, system wide implementation. This includes aligning imaging, pathology and digital infrastructure, while ensuring governance, safety and workforce readiness are embedded from the outset.

Screening360 2026 provides a timely platform for NHS leaders to understand what is working in practice, learn from early adopters and accelerate the delivery of scalable, equitable and clinically robust screening services.

Key Learning Outcomes

How to implement AI enabled screening workflows across imaging and pathology while maintaining clinical safety and governance.
Practical delivery models for high impact screening pathways including breast, cervical and cancer diagnostics.
Approaches to integrating imaging, pathology and data systems to support faster and more accurate diagnosis.
How to expand screening capacity through community based and population health driven models.
Workforce strategies including skill mix, automation and decision support to increase throughput without increasing burnout.
Governance frameworks required to deploy AI safely, manage risk and build clinical and public confidence.
Lessons learned from NHS organisations moving from pilot to operational screening delivery at scale.

Why Attend

Screening360 2026 is designed for NHS leaders responsible for delivering screening and diagnostic transformation across real world pathways. This is not a high level policy discussion, it is a practical forum focused on how to operationalise screening at scale.

With a strong focus on high impact areas such as cancer screening and women’s health pathways, the event brings together imaging, pathology and digital leaders to share what is working, what has failed and what needs to change.

Delegates will leave with tangible outputs including implementation frameworks, governance checklists and real world delivery models that can be applied immediately within their own systems. Through skill clinics, NHS deep dives and frontline reflections, attendees will gain the clarity and confidence needed to expand capacity, improve early detection and deliver measurable improvement in patient outcomes.