Medical Specialty Hub

AI in Pathology

How computational pathology and AI are changing slide analysis, cancer grading, and diagnostic accuracy.

Overview

Computational pathology uses AI to analyze digital pathology slides at scale. Models can identify cancer cells, grade tumors, and surface patterns that support more consistent and faster diagnoses.

Pathology should have been an obvious early target for medical AI and was not, for an entirely unglamorous reason: the slides were not digital.

Radiology handed machine learning a standardized digital corpus. Pathology handed it a drawer of glass. Whole slide imaging had to be developed, validated, and authorized for primary diagnosis before any model could be trained, and scanning remains expensive with storage requirements measured in gigabytes per slide.

That dependency is the whole explanation for why the FDA device list contains hundreds of radiology entries and, in pathology, essentially one.

The economics are the barrier

Digitizing a pathology laboratory costs real money and, on its own, mostly reproduces what a microscope already did. The investment case rests almost entirely on what the AI layer adds later, which makes it a harder internal sell than PACS ever was in radiology.

Clinical Use Cases

  • Whole-slide image analysis
  • Cancer grading and staging support
  • Biomarker detection
  • Quality control in lab workflows
  • Rare disease pattern recognition

Where The Evidence Actually Stands

Authorized pathology AI is currently a single adjunct device for a single tissue type. The research literature is far ahead of the regulatory record, with promising work on grading, biomarker prediction from morphology, and prognostic modeling ... almost none of which is authorized. Anyone reading that literature should keep the gap between "published" and "cleared" firmly in view, and note that whole slide imaging is a prerequisite that most laboratories have not yet bought.

FDA-Authorized Devices In This Specialty

1 records currently tracked.

See the full AI in Pathology device table →

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