AI takes on cancer radiotherapy: can a computer plan treatment in minutes?
NCT ID NCT05653063
First seen Jul 22, 2026 · Last updated Jul 23, 2026 · Updated 1 time
Summary
This trial tests whether an artificial intelligence program can automate two key steps in radiotherapy planning: outlining areas at risk of tumor spread or radiation damage, and designing the radiation beams. The AI tool is compared against the standard manual process done by oncologists and physicists. Over 1,000 patients with prostate, head and neck, or cervical cancer will participate to see if AI-generated plans meet clinical quality standards.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- a web-based artificial intelligence auto-planning tool that automates contouring and beam design for radiotherapy
- What this could lead to
- If successful, AI could speed up radiotherapy planning from weeks to minutes, reduce human workload, and improve treatment accuracy for thousands of cancer patients.
- What could go wrong
- The AI plans must meet strict clinical standards; early-stage technology may fail in complex cases or require human oversight, limiting real-world use.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Locations
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Groote Schuur Hospital
Cape Town, South Africa
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King Hussein Cancer Center
Amman, Jordan
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Tata Medical Centre
Kolkata, India
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Tata Memorial Hospital
Mumbai, India
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Tygerberg Hospital
Stellenbosch, South Africa
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University of Malaya Medical Center
Kuala Lumpur, Malaysia
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