TY - CHAP
T1 - Artificial intelligence in healthcare translation
T2 - a contemporary systematic review
AU - Enríquez Raído, Vanessa
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85216254679&partnerID=8YFLogxK
U2 - 10.4324/9781003465522-7
DO - 10.4324/9781003465522-7
M3 - Chapter
AN - SCOPUS:85216254679
SN - 9781032736990
SN - 9781032737003
T3 - Routledge Advances in Translation and Interpreting Studies
SP - 123
EP - 146
BT - The social impact of automating translation
A2 - Monzo-Nebot, Esther
A2 - Tasa-Fuster, Vicenta
PB - Routledge, Taylor and Francis Group
CY - New York, NY
ER -