Contraception-related topics in chat dialogues between healthcare students and generative AI patients: a natural language processing analysis
Generative AI chat simulations can enhance the education of healthcare professionals globally in contraception issues by improving educational outcomes. To fully utilise the advantages of AI chat interactions, effective prompting is essential. NLP was an appropriate method for analysing the conversations and could be utilised more in future research across diverse healthcare settings.
Authors
- Kaisu Luiro (ORCID: https://orcid.org/0000-0003-0736-2891)
- Harri Ketamo
- Jaana‐Maija Koivisto (ORCID: https://orcid.org/0000-0001-5846-9360)
- Sasa Tkalcan (ORCID: https://orcid.org/0009-0009-4828-8545)
- Titta Vilanti
- Ulla Hemminki-Reijonen
- Inari Dahlqvist
- Jutta Piipponen
Institutions
- University of Helsinki (FI)
- University of Eastern Finland (FI)
- Helsinki Institute of Physics (FI)
- Helsinki University Hospital (FI)
- Hospital District of Helsinki and Uusimaa (FI)
Publication Details
- Journal
- BMC Medical Education
- Published
- 2025-10-21
- DOI
- https://doi.org/10.1186/s12909-025-08032-7
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Helsingin Yliopisto
- Helsingin ja Uudenmaan Sairaanhoitopiiri