THEROLEOFLATINANDGREEKTERMINOLOGICALELEMENTSINMEDICALTERMINOLOGY:ASYSTEMATICANALYSISOFCONTEMPORARYUSAGEANDEDUCATIONALIMPLICATIONS
Abstract
Medicalterminologyconstitutesahighlyspecializedtechnicallanguagecharacterizedbysystematicconstructionprinciplesderivedpredominantlyfromclassicallanguages.Thisstudyexaminestherole,distribution,andfunctionalsignificanceofLatinandGreekterminologicalelementsincontemporarymedicalnomenclature.Throughsystematicanalysisof2,500commonlyusedmedicaltermsextractedfromstandardmedicaldictionaries,anatomicalnomenclaturedatabases,andclinicaldocumentation,weinvestigatedtherelativecontributionsofLatinandGreekelements,theirstructuralpatterns,andsemanticfunctions.Ouranalysisrevealedthat89.6%ofanalyzedmedicaltermscontainatleastoneLatinorGreekcomponent,withGreekelementspredominatinginpathologicalanddiagnosticterminology(62.4%),whileLatinelementsdominateanatomicalnomenclature(71.8%).Greekprefixesandsuffixesaccountfor76.3%ofword-formingelements,whereasLatinrootsconstitute68.2%ofanatomicalterms.ThemostfrequentlyoccurringGreekelementsinclude'cardio-'(heart),'-itis'(inflammation),'-ology'(studyof),and'-pathy'(disease),whilecommonLatinelementsinclude'musculus'(muscle),'os/osseus'(bone),'vena'(vein),and'arteria'(artery).Compoundtermsdemonstratedpredictableformationpatternsfollowingclassicalmorphologicalrules,with94.7%adheringtosystematicconstructionprinciples.HybridtermscombiningbothLatinandGreekelements,whilehistoricallydiscouraged,constitute23.4%ofmodernmedicalterminology,reflectingevolvingnomenclaturepractices.Analysisoftermcomprehensibilityrevealedthathealthcareprofessionalswithformalclassicallanguagetrainingdemonstrated34.2%higheraccuracyininterpretingunfamiliarmedicaltermscomparedtothosewithoutsuchtraining(p
Fields of Study & Subjects
Classical Anatomy and Histology
linguistics and terminology studies
Linguistics and Language Studies
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 25 February 2026
- Language
- EN
- Document type
- Dataset