Professor Xing Bo: What are the opportunities for artificial intelligence in medical decision-making?
In some people's blood, there are natural factors of revolution and innovation, so they will point out some ills and then think about solving it. ----Inscription.
Recently, the future forum was held in Beijing. In the round-table forum of innovation ecology - from basic research to cutting-edge technology development, Professor of Computer Science at Carnegie Mellon University, deputy head of the Department of Machine Learning, and Xing Bo, CEO of Petuum, made a big talk about medical treatment. Prior to the presentation of the data topic, Professor Xing Bo presided over a CMU machine learning and medical center dedicated to the use of multidimensional heterogeneous data sources based on natural language processing, image and video analysis, computational genomics and pan-grouping. Accurate personalized medical and smart hospital research and development, as well as big data technologies for the medical industry , including mobile and wearable devices, medical data privacy and security. According to the experience of AI technology reviews on the spot, the whole speech is simple and concise.
Hello, everyone, I would like to talk about the problems that arise in the process of medical big data and smart medical research and development and industrialization, and to explore the inspiration for our basic research and technological innovation. Everyone knows that the world of doctors is very high-pressure and nervous. They face big data and face-to-face data every day. The data is usually very expensive, complicated, and highly time-sensitive, so in this data-based decision-making It is quite a challenging task. In fact, we are not very sure whether doctors can really make correct decisions in real time from massive data in the face of big data. This is also a great challenge for us in theoretical research and application development. How can medical workers be properly and effectively controlled or made in the ocean of data?
4 major ills in medical decision-making
Usually we think that doctors' decision-making is based on a scientific basis, and there is a uniform standard for the diagnosis and treatment of diseases. But in fact, many famous medical scientists, including the famous Professor Arnold Relman and the editor of the New Medicine English magazine, have revealed the opposite truth: in fact, many times doctors' decisions are often based on experience, speculation, convention, or even just convenience or habit.
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