AI microscope saves time on cancer tests at St. Olavs hospital

Norway's Auditor General reports that an AI system in a fluorescence microscope at St. Olavs hospital saves time over manual work and improves FISH analyses for cancer.

  • 1 an organization

    The auditor reports that the system saves the hospital time over manual work, without saying how much.

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

Status
Reported benefit.
Evidence

foundstudiedreportedclaimed

An independent research report supports the benefit.

Compared with

The earlier manual work in FISH analysis. Assumed without a measurement.

The system’s part
Not isolated. The auditor relays the hospital's experience and gives no measured comparison with manual work. The auditor says that the hospital adapted the system with its own tissue samples but does not describe the model. Staff verify every result.
Limits
Not yet checked.
Costs and harms
Not yet checked.
Later
Not yet checked.

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Benefit type
Reduced Task Time
System
AI cell classifier built into a CE-IVD certified fluorescence microscope for FISH analysis (product not named)
Made by
Not named (the supplier of the microscope)
Used by
St. Olavs hospital HF, Trondheim
Where
Trondheim, Norway
Stage
In routine use
Date
, when the source was published
Kind
Program
Broad benefit
Identifying Objects, Actions, and Events, Processing Information
Last revised
31 October 2026

Sources

  1. Report, by authors with no tie to the system.

    Riksrevisjonen (Office of the Auditor General of Norway). Bruk av kunstig intelligens i staten. Dokument 3:18 (2023−2024), 2 September 2024. Report p. 58, with p. 13 (Faktaboks 1).

    Bruken av KI-systemet sparer tid sammenlignet med manuelt arbeid tidligere og forbedrer kvalitetssikringen og kvaliteten på analysene.

Details

AI system

Workflow

The hospital adapted and verified the system with tissue samples from its own patients. The AI sorted cells into positive, negative and undefinable by detecting mutations in single genes.

Follow-up

Conditions for replication

A biomedical scientist and a pathologist verify the system's results. The share of mutated cells is only one of several results that support a diagnosis.

Entry details

Sector

Healthcare (pathology / cancer diagnostics).

Purpose

A supplier that the auditor does not name built the AI cell classifier into a fluorescence microscope to classify cells in FISH analysis for cancer diagnosis.

Not yet checked: model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, AI contribution, 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). AI microscope saves time on cancer tests at St. Olavs hospital (AIBD-0712). Artificial Intelligence Benefits Database, edition of 31 October 2026. https://petervartanian.xyz/aibd/records/AIBD-0712.html (archived at https://doi.org/10.7910/DVN/AADSII, version 4.0)

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