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Clinical Validation of an Artificial Intelligence Algorithm to Help Interpret Mammograms

NCT05640011 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1000

Last updated 2023-11-08

No results posted yet for this study

Summary

This aims to clinically validate, on a large population, a tumor detection aid software which has already been trained on a representative French population (from several hospital centers and liberals from several departments in the west and east of France).

This population consists of 1000 patients who have been treated for breast cancer (histologically proven by breast biopsy) and whose investigators have mammograms performed at the time of diagnosis. The control population consists of the unaffected breast of each patient (with the exception of the rare cases of bilateral cancers).

This innovative software has the main feature of recognizing healthy breast tissue, allowing the radiologist to focus on breast tissue at risk, improving the management of medical time and the management of "difficult" files.

Conditions

Sponsors & Collaborators

  • University Hospital, Strasbourg, France

    lead OTHER

Eligibility

Min Age
40 Years
Max Age
75 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-04-20
Primary Completion
2023-03-20
Completion
2023-05-20

Countries

  • France

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05640011 on ClinicalTrials.gov