AI could personalize radiation for cervix cancer patients

NCT ID NCT05102240

Recruiting now Knowledge-focused Sponsor: Tata Memorial Hospital Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study will analyze data from 1,800 past cervix cancer patients to develop machine learning tools. The goal is to automate tumor detection and treatment planning, and to identify which patients might benefit from more intensive or advanced radiation techniques. No new treatments are being tested; instead, researchers aim to create knowledge-based systems for more personalized care.

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 lead to more personalized and efficient radiation treatment planning for cervix cancer patients.
What could go wrong: This is a retrospective study using existing data, so it cannot prove that the tools improve patient outcomes. The results may not apply to all patients or settings.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

cervical carcinoma Uterine Cervical Neoplasms

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

CERVIX CANCER

Contacts and locations

Locations

Advanced Centre of Treatment Research and Education In Cancer,Tata Memorial Centre
RECRUITING

Navi Mumbai, Maharashtra, 410210, India

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