摘要
人工智能(AI)与医疗应用结合已经衍生出大量的应用场景,从诊疗流程、数据融合、赋能医疗设备等多维度参与并改变了医疗行业.AI大模型是基于庞大的参数规模和复杂程度的机器学习模型,具有高度准确和广泛的泛化能力.在面对医疗场景数据增长快、数据多模态、知识图谱庞大且复杂等问题时,AI大模型将诊断、决策、治疗、管理等医疗过程串联,进一步拓宽并延长了人工智能的医疗应用空间,将医疗数据高度利用.综述传统AI及大模型在医疗领域应用中的典型应用场景,并探讨大模型在数据治理、模态融合及可信性方面的问题,以期推动大模型与医疗的结合的落地应用.
Abstract
The combination of Artificial Intelligence(AI)and medical applications has derived a large number of uses and scenarios,which has engaged and changed the healthcare industry from multiple dimensions,such as diagnosis and treatment processes,data fusion,and empowered medical devices,etc.AI large model is a machine learning model based on huge parameter scales and complexity,with a high degree of accuracy and extensive generalization capabilities.In facing the problems such as rapid growth of the data in medical scenarios,data multimodality,large and complex knowledge graphs,AI large model connects the medical processes such as diagnosis,decision-making,treatment and management by series connection,which further broadens and extends the space of AI's medical applications,which will highly utilizes medical data.In view that,we summarized the typical application scenarios of conventional AI and large models in the application of medical field,and discussed the problems of large models in data governance,modal fusion and credibility,so as to promote the landing and application of the combination of large models and medical treatment.
基金项目
解放军总医院医学工程实验室自主科研课题(2022SYSZZKY28)
国家科技期刊平台
NSTL
万方数据