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Using Natural Language Processing Technologies to Improve Communication Skills of Medical Students and Future Doctors

Year: 2025

Type: conference-paper

Abstract: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17104216

Authors: Bashkirova, Liudmyla, Kyrychenko, Nataliia, Kondrashova, Olga

Institutions: Shupyk National Healthcare University of Ukraine, Sumy State University, Kremenchuk Mykhailo Ostrohradskyi National University

Language: English

Topic: Innovations in Medical Education

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDGs: Quality education, Good health and well-being

Open Access status: green

OpenAlex ID: W7081571462

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