AI-driven abstract generating: evaluating LLMs with a tailored prompt under the PRISMA-A framework

Both LLMs demonstrated the ability to generate PRISMA-A-compliant abstracts from systematic reviews, with ChatGPT-4o consistently achieving higher quality scores than Gemini Pro. While tested in orthodontics, the approach holds potential for broader applications across evidence-based dental and medical research. Systematic reviews and meta-analyses are essential to evidence-based dentistry but can be challenging and time-consuming to report in accordance with established standards. The structured prompt developed in this study may assist researchers in generating PRISMA-A-compliant outputs more efficiently, helping to accelerate the completion and standardisation of high-level clinical evidence reporting.

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Publication Details

Journal
BMC Oral Health
Published
2025-10-10
DOI
https://doi.org/10.1186/s12903-025-06982-4
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-driven abstract generating: evaluating LLMs with a tailored prompt under the PRISMA-A framework

Kübra Gülnur Topsakal, Şule Gökmen, Gizem Boztaş Demi̇r, Serkan Görgülü et al.
BMC Oral Health
Artificial Intelligence in Healthcare and Education
article

AI-driven abstract generating: evaluating LLMs with a tailored prompt under the PRISMA-A framework

Kübra Gülnur Topsakal, Şule Gökmen, Gizem Boztaş Demi̇r, Serkan Görgülü, Yağızalp Sükut
article en

Abstract

Both LLMs demonstrated the ability to generate PRISMA-A-compliant abstracts from systematic reviews, with ChatGPT-4o consistently achieving higher quality scores than Gemini Pro. While tested in orthodontics, the approach holds potential for broader applications across evidence-based dental and medical research. Systematic reviews and meta-analyses are essential to evidence-based dentistry but can be challenging and time-consuming to report in accordance with established standards. The structured prompt developed in this study may assist researchers in generating PRISMA-A-compliant outputs more efficiently, helping to accelerate the completion and standardisation of high-level clinical evidence reporting.

BMC Oral HealthVol. 25(1)
Gülhane Askerî Tıp Akademisi (TR), Sağlık Bilimleri Üniversitesi (TR)
Openalex Percentile: Top 79%
Artificial Intelligence in Healthcare and Education
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