Analysis shows large language models enhance translations in obstetric anesthesia, suggesting better patient outcomes.
( Int J Obstet Anesth . 2024;60:104249. DOI: 10.1016/j.ijoa.2024.104249) The study explores the potential of large language models (LLMs) to bridge communication gaps in obstetric anesthesia by providing accurate translations and patient information. The increasing integration of artificial intelligence (AI) tools, such as OpenAI’s GPT-4, into health care settings, has shown promise in improving access to medical information. Prior research has highlighted the capability of LLMs in patient education and their accuracy in generating medical content. However, concerns persist regarding the completeness of AI-generated medical translations, potential biases, and privacy risks.
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Lomas A Broom (2025) studied this question.
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