Integration of artificial intelligence (AI) into medical education and administration represents a transformative shift in how physicians are trained and how educational institutions operate. Briefly, this chapter examines how AI can support personalized learning, simulation-based training, learning support, and clinical decision-making. We also discuss applications for AI within the administrative domain, such as aiding the admission process, supporting course scheduling, and improving workload management. We subsequently discuss the significant ethical and practical challenges of AI use in such contexts, including issues of data privacy, bias, fairness, and the risk of overreliance on AI undermining learners’ critical thinking and judgment.

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Artificial Intelligence and Medical Distance Learning and Management

  • Rami Madani,
  • David M. Richter,
  • Theotonius J. Gomes

摘要

Integration of artificial intelligence (AI) into medical education and administration represents a transformative shift in how physicians are trained and how educational institutions operate. Briefly, this chapter examines how AI can support personalized learning, simulation-based training, learning support, and clinical decision-making. We also discuss applications for AI within the administrative domain, such as aiding the admission process, supporting course scheduling, and improving workload management. We subsequently discuss the significant ethical and practical challenges of AI use in such contexts, including issues of data privacy, bias, fairness, and the risk of overreliance on AI undermining learners’ critical thinking and judgment.