
This article examines the role of AI in learning the Latin language within medical education. It explores how AI-driven systems-such as intelligent tutoring platforms, natural language processing (NLP) tools, and translation software-can enhance students’ acquisition of Latin-based clinical terminology, improve pronunciation, and facilitate morphological and etymological analysis. The paper concludes that AI offers unprecedented opportunities to modernize and personalize the teaching of Latin, bridging traditional linguistic knowledge with 21st-century medical education.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
