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Generative Artificial Intelligence in Medical Education: Enhancing Critical Thinking or Undermining Cognitive
Juan S Izquierdo-Condoy1, Marlon Arias-Intriago1, Andrea Tello-De-la-Torre1
1One Health Research Group, Universidad de Las Américas, Quito, Ecuador.
Generative artificial intelligence (GenAI) tools offer benefits for medical students but may impact critical thinking. Thoughtful integration is key to enhancing cognitive skills without compromising autonomy.
Area of Science:
- Medical Education Technology
- Artificial Intelligence in Healthcare
- Cognitive Science in Medicine
Background:
- Generative artificial intelligence (GenAI) tools like ChatGPT and Gemini are increasingly used in medical education.
- These tools aid in tasks such as clinical reasoning, literature reviews, and scientific writing.
- The impact of GenAI on critical thinking, a vital medical skill, is not yet fully understood.
Purpose of the Study:
- To critically evaluate the influence of GenAI on critical thinking in medical training.
- To examine the potential benefits of GenAI for cognitive skills and the risks to cognitive autonomy.
- To provide recommendations for the ethical and effective integration of GenAI in medical education.
Main Methods:
- This viewpoint paper critically assesses existing evidence and expert opinion on GenAI's role in medical education.
- It explores the dual nature of GenAI as a potential cognitive enhancer and a risk to cognitive autonomy.
- The paper discusses the necessity of specific curricular strategies for GenAI implementation.
Main Results:
- GenAI can improve efficiency and linguistic output, but carries a risk of cognitive overreliance and misinformation.
- Evidence suggests mixed outcomes, with potential for increased learner engagement alongside risks of passivity.
- Without proper integration, GenAI may undermine medical students' cognitive autonomy.
Conclusions:
- GenAI can enhance clinical reasoning when integrated thoughtfully into pedagogical frameworks, acting as a cognitive support rather than a replacement.
- Medical education must adapt by prioritizing ethical use, prompt engineering, and critical evaluation of GenAI tools.
- Future physicians need to engage with GenAI critically, ethically, and contextually, especially in complex decision-making scenarios, requiring faculty oversight and reflective practice.
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