Shaping learning objectives for biomedical artificial intelligence: Student-centered insights into novel cell visualization technology.

ABSTRACT:

Background

Artificial intelligence (AI) technology is rapidly entering biomedical research, and there is a need to assess and develop curricula that address trainees' learning objectives and interests. Studies of biomedical workforce development show that the prospective engagement of students in formulating educational objectives and activities improves motivation and learning outcomes. This study aimed to explore the educational applications of a novel AI-powered technology in undergraduate education.

Methods

A mixed-methods approach using elicitation interviews and cultural domain analysis was applied to identify the salience of ideas around the educational uses of Functional Unit State Identification & Navigation with Whole Slide Images (FUSION), an AI-powered cell-visua

SUBMITTER: Liu-Galvin RE 

PROVIDER: S-EPMC12505238 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature