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Related Experiment Video

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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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Surveying Health Professions Students' Use of Generative AI Applications.

Emily C Harris1, Amy Baldwin2, Kathy Davies1

  • 1Department of Libraries, Augusta University, Augusta, GA USA.

Medical Science Educator
|October 20, 2025
PubMed
Summary
This summary is machine-generated.

Health professions students widely use generative AI (GenAI) for medical education, primarily for information retrieval. This study surveyed students to understand their adoption and usage patterns of these emerging AI tools.

Keywords:
Generative AIHealth professions educationInformation-seeking behaviorMedical education

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797

Area of Science:

  • Medical Education
  • Artificial Intelligence in Healthcare
  • Health Professions Training

Background:

  • Generative AI (GenAI) has seen rapid adoption in various fields.
  • Limited understanding exists regarding GenAI utilization by health professions students.
  • The integration of AI tools in education necessitates understanding student behaviors.

Purpose of the Study:

  • To investigate the extent and nature of GenAI use among health professions students.
  • To identify the primary applications and purposes for which students employ GenAI.
  • To inform educational strategies for integrating AI in health professions training.

Main Methods:

  • A survey was administered to health professions students.
  • The survey collected data on GenAI usage patterns and frequency.
  • Data analysis focused on identifying common use cases and applications.

Main Results:

  • A significant proportion of health professions students are actively using GenAI applications.
  • Information retrieval emerged as the most frequent application of GenAI among surveyed students.
  • Student adoption of GenAI reflects a growing trend in educational technology.

Conclusions:

  • Generative AI is increasingly being adopted by health professions students.
  • Students predominantly utilize GenAI for accessing and synthesizing information.
  • Further research is needed to explore the full impact and implications of GenAI in medical education.