Will AI replace anatomic pathologists?

Why AI struggles to replace this job

• AI lacks the legal accountability required for final diagnostic signatures on medical records.
• Rare disease variants and novel pathologies provide insufficient training data for reliable machine learning models.
• Pathology involves integrating multifaceted clinical history and physical findings that are not always digitized.
• The physical requirement of performing autopsies and gross examinations requires dexterity and sensory judgment AI lacks.

Tasks AI could automate

• Screening tissue slides to highlight areas of potential malignancy for human review.
• Counting mitotic figures or specific cells in standardized immunohistochemistry stains.
• Automating the generation of preliminary descriptive reports for routine biopsies.
• Comparing current specimen samples against historical digital image databases for matches.

The 10-year outlook

Demand will remain high due to an aging population requiring more biopsies and diagnostic screenings. The role will transition toward digital pathology, where pathologists spend more time validating AI-generated findings rather than manual scanning.

Common questions