Research on a massively large artificial intelligence model and its application in medicine
Recent years have witnessed rapid advancements in massively large artificial intelligence(AI)models based on natural language processing and video image analysis.In order to meet the requirements of relevant application fields,the universal pretraining model is developed by the efficient collaboration and deep integration of big data,large-scale computing power,and complex algorithms.The model demonstrates adaptability to a wide range of downstream tasks.In addition,the massively large model presents considerable opportunities for advancing the quality of medical AI development.Therefore,this paper comprehensively analyzes the progress of massively large models within domestic and international contexts in recent years,with an emphasis on their key technologies and algorithmic framework.Meanwhile,the developmental characteristics of a series of standard datasets and pretraining models in the biomedical field have been presented in detail.Incorporating our team's practical experience in medical AI research and development,we undertake a comprehensive analysis of the application requirements,our solutions and experiences related to the construction of massively large models in the medical field and persistently promote innovation and development within the realm of large-scale medical models.
medicineartificial intelligencemassively large modelnatural language processingmedical image analysis
万方数据
维普
