Using Natural Language Processing Technologies to Improve Communication Skills of Medical Students and Future Doctors
This study examines natural language processing (NLP) methods designed to enhance communicative competence among students and future doctors enrolled in higher medical education programs. By integrating state-of-the-art NLP tools into instruction, the approach strengthens interpersonal communication and academic language proficiency within both clinical and classroom contexts. Empirical results indicate that the use of NLP supports the development of professional communication skills, an essential component of high-quality training for future physicians and allied health professionals. These findings suggest practical avenues for curriculum optimization in medical education.
Institutions
- Sumy State University (UA)
- Shupyk National Healthcare University of Ukraine (UA)
- Kremenchuk Mykhailo Ostrohradskyi National University (UA)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-07-20
- DOI
- https://doi.org/10.5281/zenodo.17104216
- Primary Topic
- Geochemistry and Geologic Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00