Theoretical Evolution of AI in Medical Education: A Systematic Narrative Review

A systematic narrative review synthesizing the theoretical development of artificial intelligence in medical training. Khalid A. Bin Abdulrahman authored this review, which analyzes 48 studies from a search of 1,288 records published between January 2000 and March 2025. The work focuses on educational models, frameworks, learning outcomes, and stakeholder considerations.

Use Cases

• Identify key AI domains in medical education based on the five major categories described: Intelligent Tutoring Systems, Simulation-Based Medical Education, Adaptive Learning, Generative AI, and Explainable AI.
• Analyze stakeholder considerations and ethical challenges based on the review's synthesis of concerns like learner deskilling, academic integrity, and algorithmic bias.
• Guide the development of pedagogical frameworks based on the review's analysis of how AI domains align with established instructional theories.
• Inform policy and implementation strategies based on the review's conclusions regarding responsible integration and reducing the global digital divide.

Strengths

• The review is based on a systematic search of 1,288 records from four major databases.
• Includes a qualitative thematic synthesis of 48 studies that met inclusion criteria.
• Covers a substantial time range from January 2000 to March 2025.
• Published under a permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is a 2.4 MB PDF document, which is a small-scale textual analysis rather than a primary data collection.
• No statistical meta-analysis was conducted due to methodological heterogeneity among the included studies.

Provenance

Source

figshare

Collection Method

Systematic narrative review of literature from PubMed, Scopus, Web of Science, and Google Scholar.

Time Range

January 2000 to March 2025

Freshness

Last updated 2026-04-20 05:19:39; freshness should be verified.

Geography

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