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

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
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article

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

Rameshchandra G Kothari, Jacob Matalon, Sana Ahsan, Elizabeth White et al.
1 citations
Frontiers in Artificial Intelligence
Artificial Intelligence in Healthcare and Education
0.12
article

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

Rameshchandra G Kothari, Jacob Matalon, Sana Ahsan, Elizabeth White, Madhu Varma, August Spurzem
article en
1 citations

Abstract

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.

Frontiers in Artificial IntelligenceVol. 7
Quality Education
Openalex Percentile: Top 46%
Artificial Intelligence in Healthcare and Education
0.12
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