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Effective Integration of Artificial Intelligence in Medical Education: Practical Tips and Actionable Insights
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Author(s): Manuel B. Garcia (FEU Institute of Technology, Philippines), Yunifa Miftachul Arif (Universitas Islam Negeri Maulana Malik Ibrahim Malang, Indonesia), Zuheir N. Khlaif (An-Najah National University, Palestine), Meina Zhu (Wayne State University, USA), Rui Pedro Pereira de Almeida (Universidade do Algarve, Portugal), Raquel Simões de Almeida (Polytechnic University of Porto, Portugal)and Ken Masters (Sultan Qaboos University, Oman)
Copyright: 2024
Pages: 19
Source title:
Transformative Approaches to Patient Literacy and Healthcare Innovation
Source Author(s)/Editor(s): Manuel B. Garcia (University of the Philippines, Diliman, Philippines)and Rui Pedro Pereira de Almeida (University of Algarve, Portugal)
DOI: 10.4018/979-8-3693-3661-8.ch001
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Abstract
With the increasing popularity of artificial intelligence (AI) applications in medical practices, the integration of AI technologies into medical education has garnered significant attention. However, there exists a noticeable research gap when it comes to providing comprehensive guidelines and recommendations for its successful integration into this domain. Addressing this research gap is crucial as the responsible and effective incorporation of AI in medical education not only ensures that current and future healthcare professionals are well-prepared for the demands of modern medicine but also upholds ethical standards, maximizes the potential benefits of AI, and minimizes potential risks. The objective of this chapter is to fill this gap by offering practical tips and actionable insights for incorporating AI into medical education, encompassing practical, ethical, pedagogical, and professional implications. Consequently, it equips medical educators and learners alike with the knowledge and tools necessary to navigate the evolving landscape of medical education in the age of AI.
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