RecruitingNANCT07075679

Use of Artificial Intelligence in Breast Cancer Screening: Impact of AI-Assisted Single Reading by One Radiologist on Screening Quality Indicators Compared to Standard Double Reading by Two Radiologists Without AI

Sponsor: University Hospital Olomouc

Trial Details

Condition	Breast Cancer Screening, Artificial Intelligence (AI), Breast Cancer Screening and Diagnosis
Intervention	Group with AI iCAD version 3; Group without AI
Phase	NA
Status	Recruiting
Participants	8,000
Est. Completion	5 Oct 2028
Last Updated	2 Apr 2026

Primary Outcome

Further assessment rate

Eligibility Criteria

Inclusion Criteria

Inclusion Criteria: * age 45-69, asymptomatic woman participating in breast cancer screening programme Exclusion Criteria: * clinical signs of breast disease - indication for diagnostic mammography

Trial Sites

Countries

Czechia

View Registry Entry

Related Analysis

Phase IV Trial Compares AI-Assisted Single Reading vs Standard Double Reading in Breast Cancer Screening — Implications for Radiology Workflow

A landmark trial comparing AI-assisted single reading versus standard double reading in breast cancer screening could reshape radiology workflows. The study of 8,000 women evaluates whether artificial intelligence can maintain screening quality while addressing radiologist shortages.

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