Adams Scott J, Acosta Julián N, Rajpurkar Pranav
Department of Medical Imaging, Royal University Hospital, University of Saskatchewan, Saskatoon, SK, Canada.
Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
NPJ Digit Med. 2025 Jun 12;8(1):353. doi: 10.1038/s41746-025-01776-y.
Generative AI voice agents-conversational systems powered by large language models that can understand and produce natural speech in real time-are poised to transform how health systems engage with patients. While technical and implementation challenges remain, with thoughtful design, rigorous validation, and responsible deployment, generative AI voice agents could become a critical extension of the care team, increasing the reach of clinicians and health systems in ways previously limited by human resources.
生成式人工智能语音代理——由大型语言模型驱动、能够实时理解并生成自然语音的对话系统——有望改变卫生系统与患者互动的方式。尽管技术和实施方面仍存在挑战，但通过精心设计、严格验证和负责任的部署，生成式人工智能语音代理可能会成为护理团队的关键延伸，以先前受人力资源限制的方式扩大临床医生和卫生系统的服务范围。
