Reader’s digest version of scientific writing: comparative evaluation of summarization capacity between large language models and medical students in analyzing scientific writing in sleep medicine
Some limitations in this study were a small number of participants and user bias. Participants attended at a sleep conference and study summaries were all from sleep medicine journals. Lastly the summaries did not include graphs, numbers, and pictures, and thus were limited in material extraction. While the present analysis did not demonstrate a significant difference among the readability and content quality between the AI and human-generated summaries, limitations in the present study indicate that more research is needed to objectively measure, and further define strengths and weaknesses of AI models in condensing medical literature into efficient and accurate summaries.
Authors
- Rameshchandra G Kothari
- Jacob Matalon
- Sana Ahsan
- Elizabeth White (ORCID: https://orcid.org/0000-0001-5090-1729)
- Madhu Varma
- August Spurzem
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2024-12-24
- DOI
- https://doi.org/10.3389/frai.2024.1477535
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.12