AI in Healthcare Conference 2026
Revolutionising Healthcare Through Intelligent Innovation
Salford Community Stadium, Greater Manchester 1 April 2026, 9:00am - 4:00pm
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8:30am
Delegate Registration and Networking
9:30am
Chairs Opening Remarks
9:40am
Safeguarding Trust in the UK Health AI Policy Landscape
- Provide a national overview of the AI policy and governance landscape and its significance for health and care
- Explore how regulators, NHS bodies, and the National Data Guardian are working together to ensure safe, responsible adoption of AI
- Highlight the importance of transparency, accountability, and building sustained public trust in the use of health data for AI
Nicola Byrne, National Data Guardian
10:00am
Principles to Practice: Delivering the AI Opportunities Action Plan in Health and Care
- Understand how the AI Opportunities Action Plan is being applied in health and care, including diagnostics, workforce tools, and data access
- Explore the role of AI assurance frameworks and evaluation tools in ensuring safe, transparent, and trustworthy adoption across the NHS
- Identify opportunities for healthcare providers, innovators, and regulators to translate national AI policy into practical improvements for patients and staff
Emily Campbell-Ratcliffe, Head of AI Assurance, Department for Science, Innovation and Technology
10:20am
Main Stage Sponser Speaking Session
10:40am
Questions & Answers Session
11:00am
Break & Networking
11:30am
Safe Deployment of Generative AI in Primary Care
- NHS England’s latest buyer guidance and assurance frameworks for AI scribes and tools
- How policy aligns with medical device regulations and GP IT standards
- Opportunities and challenges in embedding generative AI in front-line primary care
11:50am
Panel Discussion: Building a Workforce for the AI-enabled Future
- Explore how AI can support, not replace, clinicians and the wider workforce
- Understand the skills, training, and culture shift needed for safe and effective adoption
- Discuss workforce planning: ensuring equitable access, reducing burden, and embedding AI into daily practice
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12:10pm
Sponser Speaking Session
12:30pm
Lunch & Networking
1:30pm
From Sandbox to Scale: Implementing Risk-Proportionate AI Regulation in UK Healthcare
- Map the evolving regulatory architecture for AI as a Medical Device in the UK
- Diagnose real-world challenges in deploying AI in practice and learn the regulatory expectations to mitigate them
- Identify pathways for collaboration and international alignment to support patient safety and innovation
1:50pm
Bridging Human and Machine: Designing Trustworthy AI Systems for Clinical Decision-Support in Healthcare
Understand key human-factors issues in deploying AI in clinical settings
Identify the critical data and system design challenges for trusted AI in healthcare, including data quality, algorithm transparency/explainability, bias and validation in real-world contexts
Evaluate strategies to integrate AI/decision‐support tools effectively into clinical workflows and mobile/remote health settings, considering user-experience, trust and uptake
2:10pm
Ethical Guardrails for AI in Health: From National Frameworks to Local Action
- Analyse how parliamentary inquiries, local policy pilots, and ethical frameworks are shaping AI governance in the UK health and care context
- Discuss how tools and frameworks developed through partnerships can inform regulators and NHS bodies
- Identify pathways for aligning national safety regulation with community-level innovation and adoption
Keeley Crockett, Professor in Computational Intelligence, Manchester Metropolitan University
2:30pm
Break & Networking
3:00pm
Closing Panel: Turning Health Data into Action with AI Learning Objectives
- Understand how Secure Data Environments can support safe and effective AI use in healthcare
- Explore how NHS, community, and social care data can be better connected for AI innovation
- Learn how to balance data access with privacy, security, and public trust
- Understand how the UK’s leadership in establishing a global AI regulatory network informs data governance and innovation in health AI.
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3:30pm
Chairs Closing Remakrs
3:40pm
Close