99Science · AI & science

SCIENCE UNDER AUTOMATION

AI in Computational pathology: capabilities and evidence

Evaluated on 25 cancer subtyping and pathomics tasks

What has AI demonstrated?

Evaluated on 25 cancer subtyping and pathomics tasks

Test
Digital whole-slide images; task-specific AUROC comparisons, not a single diagnostic accuracy.
Comparison
Other pathology foundation models; not replacement of a complete pathology service.
System and version
Prov-GigaPath · 2024
Evidence checked
2026-10-21

Prepared slides and task labels are provided; specimen processing and clinical sign-off are outside the model evaluation.

What does the field require?

Analyse a digitized tissue slide

Establish a new disease mechanism

Research tasks

Analyse a digitized tissue slide

Prepared slides and task labels are provided; specimen processing and clinical sign-off are outside the model evaluation.

Establish a new disease mechanism

This broader workflow has not been evaluated by the cited demonstration.

Can AI replace the whole workflow?

The results above measure specific tasks. The field assessment also requires completion of the connected workflow, including the requirements listed here. A field-wide replacement percentage has not been established.

Read the assessment method

Sources and related evidence

Compare related fields

Computational genomics · Theoretical physics · Experimental molecular biology