Scoping Review on AI-Supported Case-Based Learning in Medical Education

A 159.3 KB PDF document synthesizes evidence from a scoping review on generative AI's role in case-based learning in medical education. The review, authored by Syed Hani Abidi and published in March 2026, analyzed literature from 2019 to 2025, identifying six key themes such as clinical reasoning and ethical issues.

Use Cases

• Analyze the six key themes, including clinical reasoning and faculty adaptation, to map the evidence landscape for GenAI in medical education.
• Extract data on challenges and limitations from the review to inform future curriculum development and policy decisions.
• Identify the role of GenAI in areas like efficient case creation and learner engagement based on the synthesized thematic findings.

Strengths

• The review is based on a systematic search across five multidisciplinary databases including PubMed and Scopus.
• It covers a defined publication time range from 2019 to 2025.
• The findings are organized into six distinct, thematically analyzed areas of evidence.

Limitations

• The dataset is a single 159.3 KB PDF, offering limited scope and no structured, machine-readable data for quantitative analysis.
• As a literature review, it contains synthesized interpretations rather than primary research data.
• The evidence is fragmented, as noted in the description, which may limit generalizability.

Provenance

Source

figshare, authored by Syed Hani Abidi.

Collection Method

Comprehensive scoping review involving title/abstract screening, full-text review, and data extraction by two independent reviewers.

Time Range

Publications from 2019 to 2025.

Freshness

Last updated March 2026.