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The Pathologist / Issues / 2026 / April / The Future of Subspecialization in Pathology
Digital and computational pathology Profession Professional Development Digital Pathology Voices in the Community Training and education Opinion and Personal Narratives Career Pathways

The Future of Subspecialization in Pathology

Does digital pathology and artificial intelligence strengthen the subspecialty model?

By Dariusz Borys 04/17/2026 Opinion 3 min read
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Clinical Scorecard: The Future of Subspecialization in Pathology

At a Glance

CategoryDetail
ConditionDiagnostic pathology transformation
Key MechanismsAdvances in tumor biology, molecular genetics, targeted therapies, digital pathology, and AI
Target PopulationPathologists and patients requiring complex diagnostic interpretation
Care SettingHospital and community laboratories, subspecialty centers

Key Highlights

  • Subspecialization in pathology is becoming essential due to increasing diagnostic complexity.
  • Digital pathology and AI enhance diagnostic accuracy, efficiency, and collaboration.
  • High-volume subspecialty centers better support advanced molecular testing and biomarker analysis.

Guideline-Based Recommendations

Diagnosis

  • Integrate morphology, immunohistochemistry, genomic alterations, and biomarker profiles for comprehensive diagnosis.
  • Utilize subspecialty expertise for challenging cases such as prostate biopsies and rare tumors.
  • Employ digital pathology platforms for rapid sharing and second opinions.

Management

  • Develop subspecialty practices to maintain current knowledge and refine diagnostic judgment.
  • Leverage high-volume centers for advanced molecular diagnostics and complex biomarker interpretation.

Monitoring & Follow-up

  • Use AI-assisted tools to standardize and reproduce biomarker assessments, reducing interobserver variability.
  • Monitor diagnostic workflows for efficiency and accuracy improvements via digital pathology.

Risks

  • Potential for interobserver variability in generalist pathologist interpretations.
  • Economic challenges for smaller practices to sustain costly molecular testing platforms.
  • Risk of cognitive overload and visual fatigue during high-volume manual slide review.

Patient & Prescribing Data

Patients undergoing diagnostic pathology for cancer and other complex diseases

Accurate subspecialty pathology interpretations directly influence treatment decisions, such as Gleason grading in prostate cancer guiding therapy.

Clinical Best Practices

  • Encourage collaboration between generalist and subspecialist pathologists supported by digital platforms.
  • Adopt AI and digital pathology tools as augmentative aids to improve diagnostic consistency and efficiency.
  • Concentrate complex molecular and biomarker testing in high-volume subspecialty centers to optimize resource use and expertise.

References

    This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.

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    About the Author(s)

    Dariusz Borys

    Orthopaedic Pathologist at Hospital for Special Surgery, New York; Professor of Pathology and Orthopaedic Surgery at New York Medical College

    More Articles by Dariusz Borys

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