Artificial intelligence-assisted mammography
Intervention1 paper2 findings
C · W · M · H: cells, worms or flies, mice, humans. Dark: independent labs found the same change there. Light: one lab or one study. Outline: nothing yet.
Labs are independent when their papers share no last author and no institution.
Against: findings that point the other way from most findings on the same outcome.
No results posted: trials that ended more than a year ago with no results on ClinicalTrials.gov and no paper in ARN’s record.
Company ties: findings with an author at a company, or from a paper that declares the maker’s interest.
Outcomes
2Recall rate
downin humans1
1 study
Recall rate
downin humans1
Artificial intelligence-assisted mammography decreases recall rate in humans.
Reviewtriage configurations
AI-Assisted Mammography Screening: A Systematic Review and Meta-Analysis of Cancer Detection, Recall Rates and Workflow Outcomes · Research Square · 21 Sep 2026 · Preprint
Cancer detection rate
upin humans1
1 study
Cancer detection rate
upin humans1
Artificial intelligence-assisted mammography increases cancer detection rate in humans (0.7 to 0.9 cancers per 1000 screens).
Reviewconcurrent decision support or risk stratified triage
AI-Assisted Mammography Screening: A Systematic Review and Meta-Analysis of Cancer Detection, Recall Rates and Workflow Outcomes · Research Square · 21 Sep 2026 · Preprint