AI&ML Keynote Theatre 1

Tuesday 17th March

Wednesday 18th March


11.45 - 12.15

Prof Jeremy Wyatt

Clinical challenges to AI: survey of UK specialty societies

I will describe the clinical challenges to AI identified in our survey, including quality issues, regulation and legal liability, and the new Faculty of Clinical Informatics (FCI) AI Special Interest Group set up to address them. I also convene the wider community interested in Mobilising Computable Biomedical Knowledge (MCBK) for learning health systems, including NICE, NHSX, NHS Digital, academics and medical publishers, and will summarise our recent launch workshop.


12.30 - 13.00

Dr Minal Bakhai

Digital First Primary Care: translating vision into practice

Primary care has often led the way in adopting new technology, consistently rising to the challenge of delivering an ever-improving service and demonstrating that innovation is possible. During this seminar Minal will discuss the digital first vision and strategy, specifically how these are being translated into practice locally. Drawing on the work from early adopters, these examples will showcase the benefits that patients and staff are seeing as a result of digital transformation.


13.30 - 14.00

Dr Stephen Weng

Machine-learning in prognostic research using routine health care data

The poster child for machine-learning or artificial intelligence in healthcare is in imaging. This seminar will explore the application of the machine-learning algorithms for prognostic research, that is prediction and classification of disease from using health care data such as electronic health records, large population cohorts, and clinical trials. This session will demonstrate several concrete examples of these ML approaches using different sources of health care data.


14.00 - 14.30

Graham Kendall

Jumping the chasm – achieving widespread adoption

The potential for AI to revolutionise healthcare in so many areas is clear but there are numerous challenges to overcome to translate cutting-edge technology into routine practice. This talk explores some of the key hurdles to implementation and what needs to change. It draws out implications for regulatory and procurement policy, and will suggest practical measures to enhance adoption and uptake including examples of how members of the Digital Healthcare Council are meeting these challenges.


14.45 - 15.15

Professor Claudia Pagliari

Realistic AI - Understanding Potential in Context

Pundits are forecasting an ''AI Winter'', as hype gives way to experience, but optimism about the potential of AI in health continues to bloom. This seminar considers the complexity of healthcare and different use cases in which AI could be applied, to illustrate how context, culture, data and evidence affect its potential to yield value for stakeholders. It aims to encourage more realistic AI thinking, for optimising both quality and sustainability.