Overview
The Fusion medical assistant large model builds on a cross-industry AI foundation and is trained on high-quality medical data including patient diagnosis and treatment, disease signs, examination and test results, treatment pathways and clinical knowledge bases. AI algorithms enable it to learn extensive medical knowledge and experience. Supported by engineering tools, it covers the full care cycle with AI pre-consultations, intelligent self-assessment, assisted diagnosis and treatment, automated clinical documentation, electronic medical record content quality control and treatment planning.
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Fusion医助大模型依托泛行业AI大模型底座,以患者诊疗、疾病体征、检查检验结果、治疗路径、临床知识库等高质量医学数据,通过人工智能算法进行训练,从而学习到庞大的医学知识和经验。辅助强大的工程化工具,实现AI预问诊、智能自诊、辅助诊疗、自动化生成病历文书、电子病历内涵质控、治疗方案制定等覆盖诊前、诊中、诊后全流程的应用场景闭环。