ActiveNCT07556900

Exploring the Potential of Artificial Intelligence for Earlier Breast Cancer Detection: A Retrospective Multi-Reader Study Based on AI-Assisted Mammographic Interpretation (EARLIEST-AI)

Sponsor: Mammograaf Radioloogiakliinik

Trial Details

Condition	Breast Cancer, AI (Artificial Intelligence), Early Detection of Cancer
Status	Active
Participants	785
Est. Completion	15 Mar 2026
Last Updated	29 Apr 2026

Primary Outcome

Standalone reader sensitivity; Standalone CAD sensitivity; Augmented Reader sensitivity; Standalone reader detection to diagnostic time (MAE); Augmented reader detection to diagnostic time (MAE)

Eligibility Criteria

Inclusion Criteria

Inclusion Criteria: * . Exclusion Criteria: * .

Trial Sites

Countries

Estonia

View Registry Entry

Related Analysis

EARLIEST-AI Study Evaluates AI-Assisted Mammography Performance: Multi-Reader Trial Compares Radiologist Accuracy With and Without AI Support

The EARLIEST-AI study evaluates whether artificial intelligence can improve mammographic breast cancer detection, comparing radiologist accuracy with and without AI assistance in a multi-reader retrospective analysis of 785 participants.

Read full article →

This content is for educational purposes for healthcare professionals only and does not constitute clinical advice. Clinical decisions should be based on individual patient assessment, current guidelines, and appropriate specialist consultation. Editorial Standards · Privacy Policy · Terms of Service