Genius Cervical AI helped cytology teams catch more precancers

In the study that FDA reviewed, cytology teams using Genius Cervical AI found HSIL+ lesions with 81.5% sensitivity, against 74.0% by microscope. Specificity fell by 1.3% to 2.9%.

  • 2 an organization

    Cytology teams reached 81.5% sensitivity for HSIL+ with the AI-selected images, against 74.0% by microscope.

Depth runs from 1, a convenience or time saved, to 5, a life or a livelihood preserved.

Status
Reported benefit.
Evidence

foundstudiedreportedclaimed

An independent regulatory document supports the benefit.

Compared with

The same cytology teams reading the glass slides by light microscope. Measured.

Without the system
HSIL+ sensitivity 74.0%
With it
HSIL+ sensitivity 81.5%
The system’s part
The same teams read the same slides by microscope and with the AI-selected digital images, so the change is attributed to the system. The digital review came last in a fixed order, after washout periods of at least 14 days.
Limits
Not yet checked.
Costs and harms
Not yet checked.
Later
Not yet checked.

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Benefit type
Improved Task Accuracy
System
Genius Digital Diagnostics System with the Genius Cervical AI algorithm
Made by
Hologic, Inc.
Used by
Four US cytology laboratories in Hologic's multi-center clinical study
Where
Four cytology laboratories, United States
Stage
Tested in a laboratory
Date
, when the source was published
Kind
Aggregate result
Broad benefit
Identifying Objects, Actions, and Events
Collections
Scrutiny and findings
Last revised
31 October 2026

Sources

  1. Regulatory document, by authors with no tie to the system.

    U.S. Food and Drug Administration, Center for Devices and Radiological Health. Evaluation of automatic class III designation for the Genius Digital Diagnostics System with the Genius Cervical AI algorithm (DEN210035): decision summary. Granted 2024-01-31.

    For HSIL+: 7.5% with a confidence interval of 4.0% to 11.4%

Details

AI system

Workflow

The algorithm showed five rows of six primary objects of interest for each slide. Each site's three teams of a cytologist and a pathologist reviewed all of its cases.

Follow-up

Conditions for replication

Slides are ThinPrep Pap tests prepared and stained as the labeling specifies. Reviewers are trained on the system and examine the glass slide when the diagnosis is uncertain.

Entry details

Sector

Healthcare.

Purpose

Hologic built the Genius Digital Diagnostics System with the Genius Cervical AI algorithm to help cytologists and pathologists screen ThinPrep Pap tests for cervical cancer and its precursors.

Not yet checked: model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.

Cite this record

Peter H. Vartanian. (2026). Genius Cervical AI helped cytology teams catch more precancers (AIBD-0771). Artificial Intelligence Benefits Database, edition of 31 October 2026. https://petervartanian.xyz/aibd/records/AIBD-0771.html (archived at https://doi.org/10.7910/DVN/AADSII, version 4.0)

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