AI predicts best lung cancer surgery for each patient
NCT ID NCT07256457
First seen Jan 09, 2026 · Last updated May 16, 2026 · Updated 18 times
Summary
This study aims to see which treatment for early-stage lung cancer—surgery or a less invasive ablation—best preserves lung function over time. Researchers will use machine learning to combine 3D CT scans and breathing tests to predict outcomes for each patient. About 192 adults with stage IA lung cancer will be followed for two years after treatment. The goal is to help doctors choose the best approach for each person, improving recovery and quality of life.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Prince of Wales Hospital
Shatin, Hong Kong
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
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