Feb. 9, 2024, 5:47 a.m. | Hengguan Huang Songtao Wang Hongfu Liu Hao Wang Ye Wang

cs.CL updates on arXiv.org arxiv.org

Traditional applications of natural language processing (NLP) in healthcare have predominantly focused on patient-centered services, enhancing patient interactions and care delivery, such as through medical dialogue systems. However, the potential of NLP to benefit inexperienced doctors, particularly in areas such as communicative medical coaching, remains largely unexplored. We introduce ``ChatCoach,'' an integrated human-AI cooperative framework. Within this framework, both a patient agent and a coaching agent collaboratively support medical learners in practicing their medical communication skills during consultations. Unlike traditional …

applications benchmarking benefit care delivery coaching cs.ai cs.cl dataset delivery dialogue doctors healthcare interactions language language models language processing large language large language models medical natural natural language natural language processing nlp novel patient processing services systems through

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