AI sorts hemorrhoid patients into groups for smarter surgery
NCT ID NCT07427927
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study looks at data from 100 adults who had hemorrhoid surgery. Researchers will use machine learning to find patterns and group patients by shared traits like age, symptoms, and surgery type. The goal is to see if these groups have different surgical experiences, which could help doctors plan more personalized care in the future.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could help doctors tailor hemorrhoid surgery to individual patient profiles, potentially improving outcomes and recovery.
- What could go wrong
- This is a small, single-center retrospective study that only looks at past data. The findings are preliminary and may not apply to all patients or lead to direct changes in care.
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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
Locations
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IRCCS Policlinico San Donato
San Donato Milanese, Milan, 20097, Italy
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Other studies related to the condition(s) this trial covers.
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