19th May 2026

Presented by Nell Thornton

What is it?

In this webinar, we will explore the latest findings from Health Foundation polling of over 10,000 members of the UK public and NHS staff on their attitudes towards AI in health care. We will discuss levels of support for AI, where concerns remain, and what people expect from responsible AI adoption in the NHS.

Why should I care?

Understanding public and staff attitudes is essential to ensuring AI is implemented in ways that are trusted, safe and equitable. The session will explore what drives confidence in AI, including transparency, accountability, human oversight, and fairness.

Does it impact healthcare?

Yes. The findings have important implications for AI policy, regulation, workforce adoption, and implementation across the NHS. We will discuss what the research means for delivering AI that improves care responsibly and fairly

About the speaker:

Nell Thornton is a Senior Policy Fellow specialising in technology and artificial intelligence in health care. She leads research and analysis on how technology and AI can improve health and care, alongside the social, ethical and practical challenges created by their use.

Since joining the Foundation in 2021, Nell has led a number of high-profile research programmes on AI, digital health and learning health systems, including one of the largest surveys of public and NHS staff attitudes to AI in health care globally. Her work focuses on areas including responsible AI adoption, public and staff attitudes to technology, regulation and governance, health inequalities, and the use of data and analytics to improve care.

Before joining the Foundation, Nell worked at Leeds Academic Health Partnership leading city-wide projects across innovation, data, and personalised health care.

Nell works with policymakers, researchers, NHS leaders and industry stakeholders to inform policy and debate on the future of technology in health care. She regularly speaks and writes on technology and AI in health and has contributed to national media coverage on the topic, including appearing on a special edition of BBC Radio 4 Woman's Hour focused on AI and women’s health. In 2025, she was named an 'AI Visionary' by the Department of Health and Social Care for her work on AI and inequalities in health care.

22nd April 2026

Presented by Dr Angus Ramsay, Dr Kevin Herbert, & Chris Sherlaw-Johnson

This is an update from 13th May Webinar: Evaluating implementation, experiences, and impact of AI in NHS chest diagnostic services in England. 13th May 2025  https://www.youtube.com/watch?v=87HbbAQC-i0

What is it? 

In this webinar, we will receive an update from the study of analysing implementation, experiences, and impact of AI for chest diagnostics, deployed in over 60 NHS hospital organisations through NHS England funding initiatives. This is a follow up from the webinar "Evaluating implementation, experiences, and impact of artificial intelligence in NHS chest diagnostic services in England" on 13th May 2025. 

Why should I care? 

We will present 'real world' learning on implementation of AI tools and their potential impact on service delivery, their resource implications and cost-effectiveness, and how staff and patients perceive and experience AI tools; we will also highlight key priorities for future research.

Does it impact healthcare? 

Yes. We will discuss the implications of our findings for future implementation of AI tools at scale in NHS diagnostic services, including procurement, deployment, service design, resource use, and monitoring of impact.

About the speakers:

Dr Angus Ramsay is a Principal Research Fellow at UCL and Deputy Director of NIHR RSET, leading mixed‑methods evaluations of healthcare improvement, including AI in NHS diagnostics.

Dr Kevin Herbert is a Research Associate Health Economist with the Cambridge Research Methods Hub, supporting RSET evaluations across public health, infectious disease, and healthcare services.

Chris Sherlaw-Johnson is a quantitative health services researcher specialising in rapid evaluation, with experience in outpatient and virtual ward transformation.

17th March 2026

Presented by Dr MaryAnn Ferreux  

What is it?

This webinar shares the findings from two commissioned studies by Health Innovation Kent Surrey Sussex exploring gender bias in AI systems and the leadership gap shaping digital health. Drawing on community research with ethnically diverse women, expert interviews and case studies in cardiology and maternity care, it reveals how bias enters datasets, design and procurement. It highlights the system evidence of how leadership diversity directly influences outcomes.

Why should I care?

Women represent half the population but only 22% of the global AI workforce. Because women’s voices are often absent from early design and commissioning decisions, bias in data leads to bias in diagnosis, risk scoring and access to care. When fewer women shape AI, the consequences show up in clinical outcomes. Commissioning, regulation and innovation will all directly affect women's health and whether women will benefit from advances in AI.

Does it impact healthcare?

AI now influences cardiology pathways, maternity services, population health analytics and procurement decisions. Our research shows that without clear standards for dataset diversity, bias mitigation and leadership representation, inequity becomes embedded in systems. This session outlines practical system actions across leadership, commissioning, governance and policy, so AI improves women’s health rather than widening existing gaps.

About the speaker:

Dr MaryAnn Ferreux, Chief Medical Officer, Health Innovation Kent Surrey Sussex

MaryAnn is an award-winning medical leader with over 20 years’ international experience in Australia and the UK. A certified healthcare executive, she specialises in digital innovation, clinical transformation and population health. Known as a positive disruptor, she drives sustainable change, inspires innovation, and champions equity to improve patient experience and outcomes. An organisational coach and mentor, she supports aspiring leaders from disadvantaged backgrounds. As an international speaker and thought leader on health equity, she leads projects tackling digital exclusion, advancing women’s health, and embedding equity in health policy and innovation.