Clinical Scorecard: Pathology Education in the Age of Copilots

At a Glance

Key Highlights

• Generative AI changes the focus of pathology education from memorization to judgment and reasoning.
• Students are encouraged to ask meaningful questions and verify AI outputs.
• AI literacy is becoming a core competency alongside diagnostic literacy.
• Pathology education must adapt assessments to reflect new learning paradigms.
• AI can enhance learning experiences if used as a cognitive tool.

Guideline-Based Recommendations

Diagnosis

• Encourage students to ask questions that deepen understanding of pathology.

Management

• Integrate AI-generated interpretations into case discussions to enhance reasoning.

Monitoring & Follow-up

• Assess students through observed oral explanations and in-class interpretive tasks.

Risks

• Be aware of biases in AI outputs and the potential erosion of reasoning skills.

Patient & Prescribing Data

Not applicable; focuses on educational strategies for medical students.

AI should be used to support deeper reasoning rather than as a shortcut.

Clinical Best Practices

• Model expert reasoning and verification habits in educational settings.
• Design cases that require judgment rather than simple recall.
• Foster an environment where students can critically evaluate AI outputs.

References

• Association of American Medical Colleges
• UNESCO
• World Health Organization
• College of American Pathologists