Artificial intelligence-based online platform assists blood cell morphology learning: A mixed-methods sequential explanatory designed research.

Jun-Xun LiJuan OuyangJuan LiuFan ZhangZhigang WangXin GuoMin LiuDavid C M Taylor

Published in: Medical teacher (2023)

The AI-based online platform could assist medical students in blood cell morphology learning. The AI system could function as a more knowledgeable other (MKO) and guide the students through their zone of proximal development (ZPD) to achieve mastery. It could be an effective and beneficial complement to microscopy learning. Students had very positive perspectives on the AI-based online learning platform. It should be integrated into the course and curriculum to facilitate the students.[Box: see text].

Keyphrases

artificial intelligence
machine learning
high throughput
big data
medical students
deep learning
single cell
social media
health information
high school
cell therapy
randomized controlled trial
study protocol
high speed
emergency medicine