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Artificial Intelligence in Medical Education.

Lt Adrian Proumen1, Santiago Uribe-Marquez2, Lcdr Gregory J Booth1

  • 1Department of Anesthesiology, Naval Medical Center Portsmouth, 620 John Paul Jones Circle, Portsmouth, VA 23708, USA; Department of Anesthesiology, Uniformed Services University, Bethesda, MD 20814, USA.

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Summary
This summary is machine-generated.

Artificial intelligence (AI) offers significant potential to enhance medical education by improving content curation, feedback, and competency assessment. AI applications also extend to specialized training like ultrasound and virtual reality, with ongoing development for future improvements.

Keywords:
Artificial intelligence (AI)EducationFeedbackMachine learningPrecision medical educationTechnology

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Area of Science:

  • Medical Education Technology
  • Artificial Intelligence in Healthcare

Background:

  • Medical education faces evolving demands for effective training and assessment.
  • Technological advancements, particularly in artificial intelligence (AI), present new opportunities to address these challenges.

Purpose of the Study:

  • To review the scope and key use cases of AI in medical education.
  • To highlight AI's utility in content curation, feedback, and competency assessment.
  • To explore AI's role in specialized training environments and discuss future directions.

Main Methods:

  • Literature review of current AI applications in medical education.
  • Analysis of AI's impact on educational workflows.
  • Discussion of emerging AI technologies and their potential.

Main Results:

  • AI demonstrates utility in curating educational content.
  • AI systems can support the provision and coordination of feedback and competency assessment.
  • AI is applicable to specialized training, including ultrasound and virtual reality (VR) teaching environments.

Conclusions:

  • AI offers substantial opportunities to augment and improve medical education workflows.
  • Key areas for AI integration include content management, assessment, and immersive training.
  • Addressing concerns and fostering development are crucial for maximizing AI's future potential in medical education.