Keywords
Medical laboratory
Smart education
Talent cultivation
Submitted : 2025-04-09
Accepted : 2025-04-24
Published : 2025-05-09
Abstract
As a branch of computer science, artificial intelligence (AI) has been widely applied across various medical fields. Medical laboratory education faces challenges such as resource scarcity, and AI technology has brought innovative transformations to this domain, promoting the democratization of educational resources, standardization of teaching practices, and precision of personalized learning. However, challenges remain, including the “black box” problem of AI algorithms, ethical risks, teachers’ adaptation to technological integration, and the cultivation of students’ critical thinking. In the future, AI is expected to be deeply integrated into medical laboratory education, ushering in a new era of “human-machine symbiosis.” Achieving this vision, however, requires multi-dimensional collaborative efforts. This paper explores the innovative applications of AI in medical laboratory education and envisions future development directions to advance the field.
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