医学影像已成为医生对疾病进行诊断、治疗和预后评估的主要手段，但它对技术要求越来越高，面临着诸多亟需解决的科学问题。所遇到的问题主要聚焦在医学影像中人工智能算法及其数学理论。该领域中很多问题的解决不仅需要数学、医学、人工智能、数据科学等领域专家的合作攻关，也需要青年学者、在校研究生的迅速成长和深度参与。本项目拟设立数理医学与人工智能专题讲习班、前沿热点研讨班，邀请医学影像中的人工智能方法与数学理论相关领域国内外知名学者担任授课和报告专家，围绕医学影像中的人工智能方法与数学理论、基于影像数据的智能辅助诊疗等主题开展系统的相关学科教学和学术前沿讲座。本项目的开展不仅能够使医学影像中的人工智能方法与数学理论相关研究人员掌握医学影像处理与分析的基本理论和方法，而且有助于他们抓住学术热点问题，促使他们在各自研究领域中突破。同时，本项目的开展将进一步促进多学科的交叉融合，使人工智能真正为临床医学服务。

Medical imaging has become the principal method for doctors to diagnose, treat and evaluate the prognosis of diseases. However, it has increasingly higher technical requirements and faces many scientific problems that need to be solved urgently. The problems encountered are mainly focused on artificial intelligence algorithms and its mathematical theories in medical imaging. The solution of various problems in this field requires not only the cooperation of experts in fields such as mathematics, medicine, artificial intelligence, and data science, but also the rapid growth and deep participation of young scholars and graduate students. This project plans to set up special workshops on mathematical medicine and artificial intelligence, and seminars on cutting-edge hot topics, and invite well-known scholars in the field of artificial intelligence in medical imaging and mathematical theory to serve as lectures and report experts, focusing on artificial intelligence methods in medical imaging and Systematic teaching of related subjects and academic frontier lectures are carried out on topics such as mathematical theory and intelligent auxiliary diagnosis and treatment based on image data. This project will not only enable researchers related to artificial intelligence methods and mathematical theories in medical imaging to master the basic theories and methods of medical imaging processing and analysis, but also help them grasp academic hotspots and encourage them to work in their respective research fields breakthrough. At the same time, this project will further promote the multi-subjects’ amalgamation, so that artificial intelligence can truly serve clinical medicine.