Fascinating insights from The Alan Turing Institute #AIUK event in London (17/18 March 2025):
Key points I take away:
- Agile AI development is required emphasising rapid learning and adaptation, though obtaining data remains time-intensive.
- Opportunity: Enhancing decision support systems to connect AI technology with clinical practice.
- Promoting technical literacy and active engagement among end users of patient care is necessary for implementation of AI nations wide.
- We need to balance caution in data protection with the need for innovation and sharing.
- Recognise that good laboratory metrics do not always reflect real-world success.
- Emphasise explainability and trust to facilitate clinician acceptance.
- Proposals to establish Clinical AI offices and introduce AI as an official clinical specialty are great!
- There are big Ssmilarities between the genomic revolution and the ongoing AI revolution.
- Differences in UK health AI regulations compared to those in the EU and USA can be used to our advantage.
Additional reflections:
- The impact of reinforcement learning and intellectual debt.
- Disruption brought by AI, transforming the roles and questions we address (AI makers vs. AI takers).
- Global investment scale: Google’s AI research investment is equivalent to all UK research funding.
- Potential of AI to significantly reduce cognitive overload in clinical environments.
The event underscored the critical balance needed between optimism from data scientists and caution from clinicians in responsibly integrating AI into healthcare.
Manuel Corpas 
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