Benchmarking AI chatbots: assessing their accuracy in identifying hijacked medical journals
Current AI chatbots are not yet reliable for detecting hijacked journals and may inadvertently promote them.
Authors
- Lóránt Dénes Dávid (ORCID: https://orcid.org/0000-0001-7880-9860)
- Mihály Hegedűs (ORCID: https://orcid.org/0000-0001-8064-0208)
- Mehdi Dadkhah (ORCID: https://orcid.org/0000-0001-7964-4762)
Institutions
- Eötvös Loránd University (HU)
- Magyar Agrár- és Élettudományi Egyetem (HU)
- John von Neumann University (HU)
- Tomori Pál College (HU)
- Széchenyi István University (HU)
Publication Details
- Journal
- Diagnosis
- Published
- 2025-05-22
- DOI
- https://doi.org/10.1515/dx-2025-0043
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.31