HEALTHCARE

From model scores
to clinical evidence

Screening outcomes, workload and physician decisions

SWEDEN · MASAI · RANDOMIZED SCREENING TRIAL

More cancers found, fewer readings

Cancers detected at screening

Per 1,000 women · 95% confidence intervals
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SCREEN-READING WORKLOAD

44.2% fewer readings

AI-supported61,248
Standard double reading109,692

Reported total readings · slightly different arm sizes

What changed inside the screening pathway

The detected cancers

per 1,000 screened women · invasive and in situ
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Follow-up examinations

per 1,000 screened women · overlapping measures
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False positives are part of recalls, not additional cases. Reported differences in recall and false-positive rates were not statistically significant.

AI-supported: 53,043 women · 1,110 recalls · 772 false positivesStandard double reading: 52,872 women · 1,027 recalls · 765 false positives
SAME TRIAL · FOLLOW-UP PUBLISHED JANUARY 2026

What happened between screening rounds?

Interval cancers

Per 1,000 women · 95% CI · lower is better
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Non-inferiority established; a reduction was not demonstrated.

Sensitivity and specificity

Reported percentages · 95% CI in tooltips
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Sensitivity: cancer cases detected. Specificity: non-cancer cases correctly excluded.

UNITED STATES · 50 PHYSICIANS · HISTORICAL GPT-4 TRIAL

A capable model is only part of the workflow

Median reasoning score

% of diagnostic-reasoning rubric points
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The adjusted difference

pp · estimate and 95% confidence interval
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The interval crosses zero; a physician benefit was not established.

Statvero