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AI cancer scanner raises £9m from Macmillan

The 30 second story

You know when a radiologist looks at your scan and spots things you cannot see? Cambridge startup Lucida Medical has built software that does the same thing for prostate cancer in MRI scans. The company raised £8.7m from investors including Macmillan Cancer Support to expand their AI diagnostic service that is already being used in NHS hospitals. The software helps doctors spot cancer more accurately and works alongside existing hospital systems.

Why it matters

Faster, more accurate cancer diagnosis means patients get treatment sooner and hospitals can handle more cases with the same staff. This matters because cancer services are under massive pressure and waiting times keep growing. Lucida’s software does not replace doctors but gives them a second pair of eyes that never gets tired or distracted. Automation changes everything here because the software can analyse scans instantly, flag urgent cases, and free up specialists to focus on complex decisions rather than routine screening.

AI is moving from tech demos to actual medical care, starting with the tasks that eat up the most specialist time.

Be transparent about it

Patients should know when AI is involved in their diagnosis. Hospitals using this software should tell patients that computer analysis supports their doctor’s decision-making, explain that the final diagnosis always comes from a qualified clinician, and be clear about how their scan data is processed. Transparency builds trust in new technology and processing medical data without proper consent breaches UK data protection rules.

What this means for your business

  • AI tools are proving themselves in high-stakes environments like cancer diagnosis, making the technology more credible for business applications
  • Software that augments expert judgment rather than replacing it is attracting serious investment, showing a clearer path to profitable automation
  • Healthcare AI getting regulatory approval and NHS adoption creates a blueprint other industries can follow for rolling out AI safely
  • The funding shows investors back AI that solves specific, measurable problems rather than general-purpose tools
Read the full story on UKTN

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