Artificial intelligence in healthcare translation: a contemporary systematic review

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Artificial intelligence (AI) is revolutionizing various sectors, with healthcare translation emerging as a pivotal area of influence. In an increasingly globalized world, where linguistic and cultural barriers often complicate healthcare interactions, AI-enabled translations play a paramount role. This chapter comprehensively reviews the current role of AI in healthcare translation, exploring the promises and challenges of tools like neural speech and machine translation (MT), and large language models (LLMs). These tools aim to make complex medical terminologies accessible and bridge linguistic divides in doctor–patient communications. Despite their transformative potential, the integration of AI technologies into healthcare remains nascent. This systematic review elaborates on the interplay of AI and natural language processing (NLP) in healthcare, examines medical translation apps, and assesses the efficacy of existing commercial MT tools. The chapter underscores that the fusion of AI, NLP, and translation is not just about computational prowess but also about ensuring clear, accurate, empathic, and ethically grounded communication in healthcare, emphasizing the indispensable synergy of human and machine.

Original languageEnglish
Title of host publicationThe social impact of automating translation
Subtitle of host publicationan ethics of care perspective on machine translation
EditorsEsther Monzo-Nebot, Vicenta Tasa-Fuster
Place of PublicationNew York, NY
PublisherRoutledge, Taylor and Francis Group
Chapter7
Pages123-146
Number of pages24
ISBN (Electronic)9781003465522
ISBN (Print)9781032736990, 9781032737003
DOIs
Publication statusPublished - 2025

Publication series

NameRoutledge Advances in Translation and Interpreting Studies

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