# Artificial Intelligence–Powered Answers to Questions in Genomic Medicine

**Authors:** Mary Kate Worden, Allison Cruise, Johanna M.B. Craig, Eli S. Williams

PMC · DOI: 10.1007/s40670-025-02444-2 · Medical Science Educator · 2025-07-04

## TL;DR

Medical students evaluated AI-generated answers in genomic medicine, comparing them to literature to understand AI's pros and cons in healthcare.

## Contribution

A novel educational approach using AI to foster critical thinking in genomic medicine among medical students.

## Key findings

- Students identified strengths and limitations of AI responses in genomic medicine.
- The exercise aligns with recommendations for integrating AI into medical education.
- Comparing AI outputs to literature enhances students' critical thinking skills.

## Abstract

We asked first-year medical students to critique ChatGPT-generated responses to questions in genomic medicine. Students compared AI outputs to biomedical literature, highlighting AI’s strengths and limitations. The exercise fosters critical thinking about AI in healthcare, in alignment with recommendations for integrating AI into medical education.

## Full-text entities

- **Diseases:** AI"issue"head (MESH:D006258), genetic disease (MESH:D030342), AI (MESH:C538142)
- **Chemicals:** BioRender (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12812124/full.md

## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC12812124/full.md

## References

3 references — full list in the complete paper: https://tomesphere.com/paper/PMC12812124/full.md

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Source: https://tomesphere.com/paper/PMC12812124