Can Technology Make Pathology More Human? Part 2
Experts reflect on the potential of AI to increase the reach of pathology in healthcare
By
Helen Bristow
September 4, 2026
Clinical Scorecard: Can Technology Make Pathology More Human? Part 2
At a Glance
Category Detail
Condition Pathology Key Mechanisms Integration of AI in diagnostic processes to enhance efficiency and support pathologists. Target Population Pathologists and patients requiring diagnostic services. Care Setting Clinical laboratories and pathology departments.
Key Highlights
AI tools are designed to support pathologists, not replace them. Pathologists may evolve into treatment planners alongside oncologists. AI can help manage increasing demand for pathology services. The role of pathologists could expand with advancements in precision medicine. Engagement with emerging technologies is crucial for the future of pathology. Guideline-Based Recommendations
Diagnosis
Pathologists should remain responsible for final diagnoses despite AI assistance. Management
AI should be used to automate routine tasks and improve workflow efficiency. Monitoring & Follow-up
Pathologists should engage with AI tools to enhance diagnostic accuracy and patient outcomes. Risks
Increased diagnostic complexity may overwhelm pathologists if not managed properly. Patient & Prescribing Data
Patients undergoing diagnostic testing and treatment planning.
Pathologists may increasingly contribute to treatment decisions through companion diagnostics.
Clinical Best Practices
Pathologists should actively shape the integration of AI in their workflows. Collaboration with pharmaceutical companies can enhance the role of pathologists in treatment planning. Related Resources & Content
