Millions: Breakthrough AI in Healthcare

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AI didn't arrive in radiology yesterday, it's been in the room for years. Millions sits down with the people who shaped how it got there: the case that changed their mind, the rollout that fell apart in practice, the moment they changed course because of what the data showed. That same scrutiny doesn't stay in the hospital. The people who stress-test AI for a living bring the exact same instinct home . This is radiology's sharpest minds on AI, on and off the clock. Hosted by Dr Mark Phillips and the Harrison.ai team.

Episodes

  1. Jul 21

    How Greater Manchester cut chest X-ray reporting from 8 days to 1 - Dr Rhidian Bramley, NHS Greater Manchester Cancer Alliance

    Most radiology AI is sold on what it catches. Greater Manchester found the value in what it could safely rule out, and redesigned an entire patient pathway around it.   In this episode of Millions: Breakthrough AI in Healthcare, hosts Dr Mark Phillips and Tom Pickersgill sit down with Dr Rhidian Bramley - Consultant Radiologist at The Christie NHS Foundation Trust, Clinical AI Lead for the Greater Manchester Cancer Alliance, and the radiologist-turned-developer behind AIRPORT, the AI imaging evaluation he led across Greater Manchester. Backed as part of NHS England's wider £21 million AI Diagnostic Fund, AIRPORT stands as one of the largest real-world evaluations of radiology AI within the NHS, spanning seven Trusts, and highly commended at the UK's prestigious HSJ Awards. If you're a radiologist or reporting radiographer weighing up where AI actually earns its place, this is a practical, been-there conversation - the implementation calls that looked obvious and were wrong, and the ones that quietly worked.  What you'll take away:  The insight most teams miss: when AI and the radiologist agree a case is normal, cancer risk drops below the general population, and why that "high-confidence normal" is where operational value lives. 8 days to 1 day on suspected-cancer chest X-ray turnaround with AI support, achieved by reordering the same work, not adding resources. Why the obvious fix slowed reporting, and the redesign that fixed it. Making the economic case, not just the clinical one: freeing CT capacity and cutting unnecessary follow-ups.How I AI: a radiologist and developer who's refreshingly specific about cutting through the noise: which tool he reaches for, where, and why. Plus the developer headline: he hasn't written code since December. He now orchestrates parallel AI agents and does in an hour what used to take a week.   Guest: Dr Rhidian BramleyThe patient side of this work in Greater Manchester: "Rapid X-ray analysis backed by AI gave me my life back". Subscribe for new episodes.  Millions is brought to you by Harrison.ai, a global radiology AI company live across 58+ NHS Trusts & Health Boards and 25 countries worldwide. Find out more at Harrison.ai.  Note: Rhidian's reference to Copilot use reflects secure NHS login access under strict staff code of conduct - no patient data is used.

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AI didn't arrive in radiology yesterday, it's been in the room for years. Millions sits down with the people who shaped how it got there: the case that changed their mind, the rollout that fell apart in practice, the moment they changed course because of what the data showed. That same scrutiny doesn't stay in the hospital. The people who stress-test AI for a living bring the exact same instinct home . This is radiology's sharpest minds on AI, on and off the clock. Hosted by Dr Mark Phillips and the Harrison.ai team.

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