AI in Healthcare — Real, Safe, Useful: The ethical considerations of AI use in healthcare

AI has the potential to improve patient outcomes, reduce administrative burden and support NHS transformation.

But moving from innovation to real-world adoption requires overcoming practical, clinical and ethical challenges.

Join healthcare and technology leaders as they discuss what it takes to implement AI successfully at scale.

This panel will bring together healthcare, clinical and technology leaders to discuss the barriers preventing safe and effective adoption.

The conversation will cover clinical evidence, governance, data, integration with existing systems, workforce readiness, patient trust, procurement and accountability.

The focus will be on practical lessons for turning promising innovation into technology that is safe, useful and sustainable in real healthcare environments.

Why attend?

  • Hear perspectives from clinicians, NHS leaders and technology innovators.
  • Understand the key barriers to AI adoption in healthcare.
  • Explore how organisations can balance innovation, trust and patient safety.
  • Network with healthcare decision-makers and digital transformation leaders.

Discussion Topics

  • From pilot projects to NHS-wide adoption.
  • Building clinician and patient trust in AI.
  • Ethical and governance considerations.
  • Addressing workforce and operational challenges.
  • Lessons from early healthcare AI deployments.

What will attendees take away? A clearer understanding of what healthcare organisations and technology providers must address to move AI from experimentation into responsible, real-world use.

Who should attend? Healthcare professionals, Healthcare businesses, students and academia.

Format: Panel discussion with audience questions.

This event is aimed at: Healthcare professionals, healthcare businesses, students and academia.

Speakers Include:

Healthtech & Medtech AI & Machine Learning Data

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