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April 10, 2026The Clinical Teacher

Artificial Intelligence Use in Problem‐Based Learning: Implications for Clinical Reasoning

Michal Feigis Elaine Burke

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Key Points

This research aims to explore the impact of artificial intelligence on problem-based learning and its implications for clinical reasoning.
Literature review of existing studies on AI and problem-based learning
Analysis of educational frameworks incorporating AI
Evaluation of clinical reasoning outcomes in educational settings
AI enhances problem-solving skills in clinical contexts
Improvement in clinical reasoning among participants exposed to AI tools
Positive feedback from educators on the integration of AI in learning processes

Implication

Analysis of AI use enhances clinical reasoning skills in education, suggesting effective teaching implications.

Abstract

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Cite This Study

Feigis et al. (2026) studied this question.

synapsesocial.com/papers/69db37ca4fe01fead37c5d85 https://doi.org/10.1111/tct.70425

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Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Considerations on the basis of medical reasoning for the use in AI applications2024 · 3 citations
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3A 9 + 1 multi-agent collaborative teaching model for clinical reasoning: integrating large language models into medical educationOriginal Research · 2026
4Human-GenAI collaboration in clinical reasoning education: a systematic review of roles, risks, and curricular implicationsSystematic Review · 2026
5Diagnostic reasoning with and without AI: automation bias in pre-clerkship medical studentsOriginal Research · 2026 · 1 citations

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