A0694
Title: Application of artificial intelligence for medical big data
Authors: Liyilei Su - Shenzhen Technology University (China) [presenting]
Bingding Huang - Shenzhen Technology University (China)
Abstract: In recent years, with the development of deep learning and other technologies, artificial intelligence (AI) has achieved significant results in a number of fields, such as image recognition, natural language processing, and decision support. In medical image big data, automatic diagnosis of medical images is currently one of the most worthwhile research directions; with the help of complex data classification and pattern recognition technology, the disease diagnosis system can quickly and accurately identify the possible disease risks from the massive amount of medical data. AI can be applied to all aspects, from diagnosis to treatment, such as image acquisition and processing, assisted reporting, follow-up planning, data storage, data mining, and so on. Compared with traditional manual analysis methods, machine learning-based disease diagnosis systems can not only dramatically improve the efficiency of disease diagnosis but also significantly improve the accuracy of diagnostic results. Due to its accuracy and wide range of applications, AI can have a huge impact on medical science, assisting doctors in the diagnosis and treatment of patients and changing the traditional medical mode, making automated and intelligent medical treatment possible, speeding up the diagnosis time and reducing subjective judgement based on the medical big data.
