报告题目：Artificial Intelligence Medicine (人工智能在医学物理中的应用)
报告人： 邢磊 教授（美国斯坦福大学医学物理中心）
Artificial intelligence（AI）consists of agents or computer algorithms that automatically lean from past experience to perform predictions or classifications. AI is evolving rapidly and promises to transform the world in an unprecedented way. The tremendous possibilities that AI can bring to medical research and management have triggered a flood of activities in the development and clinical applications of the technology. Particularly, with the support of big data and accelerated computation, deep learning is taking off with tremendous algorithmic innovations and powerful neural network models. Given the immense learning tools and massive computational resources that are becoming readily available, it is believed that AI will dramatically change the landscape of cancer research and clinical practice in the near future. In this talk I will present a broad overall of medical AI and address the questions on how to prepare the community to the new era of AI-powered medicine and to harness the enormous potential afforded by the AI to improve our patient care is becoming an urgent issue. I will describe the state of the art AI technologies and their applications in cancer research and management. The clinical, technical and ethical challenges that need to be addressed before we can confidently rely on AI for patient care will also be discussed.
Dr.Lei Xing is currently the Jacob Haimson Professor of Medical Physics and Director of Medical Physics Division of Radiation Oncology Department at Stanford University. He also holds affiliate faculty positions in Departments of Electric Engineering (courtesy), Biomedical Informatics, Bio-X and Molecular Imaging Program at Stanford. Dr.Xing obtained his PhD in Physics from the Johns Hopkins University in 1992 and received his Medical Physics training at the University of Chicago. He has been a member of the Radiation Oncology faculty at Stanford since 1997. He is also an affiliated faculty member in Stanford’s Department of Electrical Engineering, Biomedical Informatics Program, Molecular Imaging Program at Stanford, and Bio-X program. His research has been focused on inverse treatment planning, artificial intelligence (AI) in medicine, tomographic image reconstruction, CT, optical and PET imaging instrumentations, image guided interventions, nanomedicine, and applications of molecular imaging in radiation oncology. Dr.Xing is an author on more than 300 peer-reviewed publications,a co-inventor on many issued and pending patents, and a co-investigator or principal investigator on numerous NIH, DOD, NSF, ACS grants and projects from other funding agencies and corporates. He and his lab members have received numerous awards form ACS, AAPM, ASTRO, WMIC, RSNA and industrial companies such as Varian, Google, NVIDIA, and Siemens in the past decade. Dr.Xing is on the editorial boards of a number of journals in radiation physics and medical imaging. He is a fellow of AAPM and AIMBE (American Institute for Medical and Biological Engineering).