Screen

Screen papers based on title and abstract

GenAI capability	Text analysis and recommendations
Prompting strategy	Zero-shot prompting
Requirements	LLMs
Academic study	Syriani et al. (2024)

Preparation: Extract abstracts locally and provide them with the prompt.

Prompt

Context: I am screening papers for a systematic literature review.
The topic of the systematic review is [add topic here].
The study should focus exclusively on this topic.
Instruction: Decide if the article should be included or excluded
from the systematic review. I give the title and abstract of the
article as input. Only answer include or exclude. Be lenient.
I prefer including papers by mistake rather than excluding them by mistake.

Task i:

- Title: “Twelve tips to leverage AI for efficient and effective medical question generation”
- Abstract: “Crafting quality assessment questions in medical education […]”

Language translation in the screening process

GenAI capability	Text translation
Prompting strategy	Zero-shot prompting
Requirements	LLMs
Academic study	Wagner et al. (2026)

Preparation: Use GROBID to convert PDF documents to TEI format and provide the TEI (xml) files as an input to the LLM.

Prompt

Read each xml document, which has the namespace http://www.tei-c.org/ns/1.0.
Extract the following items:
    • title, which is in TEI/teiHeader/fileDesc/titelStmt/title (display in title case)
    • abstract, which is in TEI/teiHeader/profileDesc/abstract/div (using all p tags)
    • keywords, which are in TEI/teiHeader/profileDesc/textClass/keywords
Translate the abstract to English (if necessary).
Arrange all results in a Markdown table. Add a “screening” column.

References

Syriani, E., David, I., & Kumar, G. (2024). Screening articles for systematic reviews with ChatGPT. Journal of Computer Languages, 80, 101287. https://doi.org/10.1016/j.cola.2024.101287

Wagner, G., Prester, J., Mousavi, R., Lukyanenko, R., & Paré, G. (2026). Generative artificial intelligence for literature reviews. To Be Accepted at Journal of Information Technology. https://doi.org/TODO