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The Pathologist / Issues / 2026 / January / Special Series Digital Pathology and AI in the Lab
Digital and computational pathology Digital Pathology Laboratory management Microscopy and imaging Research and Innovations Insights Professional Development

Special Series: Digital Pathology and AI in the Lab

Explore how digital workflows and machine learning tools are enhancing pathology practice

01/21/2026 Learning 0 min read

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Clinical Scorecard: Special Series: Digital Pathology and AI in the Lab

At a Glance

CategoryDetail
ConditionTransition from traditional pathology to digital pathology
Key MechanismsUtilization of AI-enhanced digital workflows
Target PopulationLaboratories and healthcare providers
Care SettingLaboratory environment

Key Highlights

  • AI tools can enhance laboratory efficiency
  • Digital images improve clarity and diagnostic accuracy
  • Custom-built AI solutions can positively impact patient care
  • Digital assets have potential for revenue generation
  • Transitioning to cloud-based systems is becoming essential

Guideline-Based Recommendations

Diagnosis

  • Adopt AI-enhanced digital workflows for improved diagnostic processes

Management

  • Implement custom-built AI tools tailored to laboratory needs

Monitoring & Follow-up

  • Regularly assess the performance of digital pathology systems

Risks

  • Consider data security and patient privacy in cloud transitions

Patient & Prescribing Data

Patients receiving pathology services

AI tools can lead to more accurate and timely diagnoses

Clinical Best Practices

  • Ensure high-quality digital imaging standards
  • Train staff on new digital workflows and AI tools
  • Evaluate the cost-effectiveness of digital pathology solutions

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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