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Artificial Intelligence-based online platform assists blood cell morphology learning: A mixed-methods sequential

Junxun Li¹, Juan Ouyang¹, Juan Liu²

¹Department of Laboratory Science, First Affiliated Hospital of Sun Yatsen University, Guangzhou, China.

Medical Teacher

|March 27, 2023

Summary

Artificial intelligence (AI) platforms enhance medical students' learning of blood cell morphology. This AI tool effectively complements traditional microscopy, showing positive student feedback and improved test scores.

Keywords:

Artificial intelligence blood cell morphology learning online platform

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Area of Science:

Medical Education
Artificial Intelligence in Healthcare
Hematology

Background:

Traditional methods for learning blood cell morphology can be challenging.
Developing innovative educational tools is crucial for medical training.

Purpose of the Study:

To evaluate the effectiveness of an Artificial Intelligence (AI)-based online platform for learning blood cell morphology.
To assess student perspectives on AI-driven educational tools in medical school.

Main Methods:

A mixed-methods sequential explanatory and crossover design was employed.
Thirty-one third-year medical students were divided into two groups, alternating between AI platform and microscopy learning.
Pretests, posttests, and qualitative interviews were used for data collection.

Main Results:

Significant improvements in test scores were observed for both groups after AI platform learning.
The AI platform was frequently cited for its feasibility and ability to facilitate comparative cell analysis.
Students reported positive experiences and perspectives regarding the online AI learning platform.

Conclusions:

The AI-based online platform effectively assists medical students in mastering blood cell morphology.
The AI system acts as a knowledgeable other, guiding students through their zone of proximal development.
The platform is a beneficial supplement to microscopy learning and should be integrated into medical curricula.