Pearse Keane

AI in Healthcare Pioneer, Consultant Ophthalmologist, Moorfields, Professor, UCL

Pearse Keane keynote speaker headshot on AI in healthcare, ophthalmology and medical innovation

Pearse Keane works at the point where artificial intelligence meets real clinical decision-making. As a practising ophthalmologist and researcher, his focus is on how machine learning moves from controlled environments into everyday healthcare, improving diagnosis, accuracy and patient outcomes at scale.

His work is grounded in application. From deploying AI in clinical workflows to shaping how systems integrate into frontline medicine, he brings a clear view of what it takes for technology to function in high-stakes, regulated environments. His perspective cuts through theoretical discussions of AI, focusing instead on where it works, where it fails, and what organisations need to understand before implementation.

For organisations exploring AI beyond pilots and experimentation, his lens is practical, measured and directly relevant to real-world deployment.

Signature Keynotes

  • How machine learning is being deployed in real healthcare environments.

  • What it takes for AI to move beyond pilots into operational systems.

  • How AI reshapes judgement, accountability and risk.

  • The challenges of deploying AI where precision matters.

The Keane Effect

When Pearse speaks, AI is understood in terms of application, not promise.

Audiences leave ready to:

  • Understand how AI performs in real-world, high-stakes environments

  • Recognise the gap between research capability and practical deployment

  • Rethink workflows, accountability and decision-making with AI in the system

  • Engage with the regulatory and ethical realities of applied AI

Why Book Pearse

Pearse Keane brings a rare combination of clinical credibility and applied AI expertise. He speaks from direct experience of deploying AI in environments where accuracy, trust and accountability are critical, offering a perspective that is grounded, clear and highly relevant to senior decision-makers.

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