AI in Pathology Education: Learning as We Go

Should we treat AI tools less like a moving target and more like a pathology case, asks Deeksha Sikri

Category	Detail
Condition	Artificial Intelligence in Medical Education
Key Mechanisms	Integration of AI tools to enhance learning and teaching methodologies in pathology.
Target Population	Pathology educators and medical students.
Care Setting	Medical education and training environments.

AI is reshaping pathology education by shifting focus from memorization to judgment and interpretation.
Educators must define objectives and constraints before utilizing AI tools.
Engagement and visible judgment from educators are crucial in teaching students to apply knowledge effectively.
The integration of AI requires a balance of curiosity and caution.
The experience of using AI tools can enhance understanding of complex concepts like tumor nomenclature.

Orient first by defining objectives and gathering source material before using AI.
Model the process of judgment and decision-making for students.
Utilize AI tools to create interactive and engaging educational materials.