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Artificial Intelligence for breaST canceR scrEening in mAMmography (AI-STREAM)

NCT05024591 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 25008

Last updated 2023-09-28

No results posted yet for this study

Summary

This prospective study aims to generate real-world evidence on the overall benefits and disadvantages of using Lunit INSIGHT MMG AI based CADe/x for breast cancer detection in a population-based breast cancer screening program in Korea.

Conditions

Interventions

DEVICE

Lunit INSIGHT MMG CADe/x for medical imaging

• A software that detects areas suspected of breast cancer using mammographic images, marks areas suspected of malignant lesions, and displays the probability of malignant lesions to assist with the interpreting physician's diagnosis

Sponsors & Collaborators

  • Korea Health Industry Development Institute

    collaborator OTHER_GOV

  • Kyung Hee University Hospital at Gangdong

    lead OTHER

Principal Investigators

  • Yun-Woo Chang, MD, PhD · Soonchunhyang University Hospital, Seoul

Eligibility

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

Timeline & Regulatory

Start
2021-02-01
Primary Completion
2022-12-31
Completion
2024-12-31

Countries

  • South Korea

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 NCT05024591 on ClinicalTrials.gov