DIGITAL TRANSFORMATION OF CLINICAL EDUCATION THROUGH ARTIFICIAL INTELLIGENCE: A STRENGTHS, WEAKNESSES, OPPORTUNITIES, AND THREATS (SWOT) ANALYSIS

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Akyon S. H., Akyon F. C., Yazar S.

Ankara Medical Journal, vol.25, no.1, pp.96-118, 2025 (Scopus, TRDizin) identifier

  • Publication Type: Article / Review
  • Volume: 25 Issue: 1
  • Publication Date: 2025
  • Doi Number: 10.5505/amj.2025.63373
  • Journal Name: Ankara Medical Journal
  • Journal Indexes: Scopus, TR DİZİN (ULAKBİM)
  • Page Numbers: pp.96-118
  • Keywords: Artificial intelligence, clinical skills, digital health, medical education, patient simulation
  • Open Archive Collection: AVESIS Open Access Collection
  • Middle East Technical University Affiliated: Yes

Abstract

This review article examines the impact of Artificial Intelligence (AI) on the digital transformation of clinical education through a comprehensive SWOT (strengths, weaknesses, opportunities, and threats) analysis. AI offers several strengths, including innovative learning strategies through simulations and virtual patients, personalized learning paths, advanced clinical training, and enhanced communication skills. However, AI faces weaknesses such as a lack of transparency, potential for misinformation, limited curriculum integration, and access inequality. Opportunities include managing information overload, providing real-time feedback, supporting multiple languages, and generating clinical scenarios. Threats include misinformation and bias, overdependence on AI, privacy concerns, lack of human interaction, and access inequality. Addressing these challenges is critical to fully realize AI's potential in medical education.