Assessing GPT and DeepL for terminology translation in the medical domain: A comparative study on the human phenotype ontology

Assessing GPT and DeepL for terminology translation in the medical domain: A comparative study on the human phenotype ontology

Abstract Background This paper presents a comparative study of two state-of-the-art language models, OpenAI’s GPT and DeepL, in the context of terminology translation within the medical domain. Methods This study was conducted on the human phenotype ontology (HPO), which is used in medical research...

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Main Authors: Richard Noll, Alexandra Berger, Dominik Kieu, Tobias Mueller, Ferdinand O. Bohmann, Angelina Müller, Svea Holtz, Philipp Stoffers, Sebastian Hoehl, Oya Guengoeze, Jan-Niklas Eckardt, Holger Storf, Jannik Schaaf
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Artificial intelligence
Controlled vocabulary
Translations
GPT
Online Access:https://doi.org/10.1186/s12911-025-03075-8
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https://doi.org/10.1186/s12911-025-03075-8

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