In response to the trend of artificial intelligence (AI) technology, our hospital promotes the application of AI  in clinical medicine. On August 21, 2017, the AI Center for Medical Diagnosis was established, in order to build a database of medical imaging and structural patient clinical information. Combining high-value medical imaging data and deep learning technology to establish clinical prediction models. The goal is to promote the application of AI for clinical uses. We hope to build AI medical assisted diagnosis systems to improve the quality of medical care through the cooperation of physicians and AI to achieve the goal of smart medical care.

AI center is mainly engaged in the development of the following four major medical fields:

Medical imaging
Provide diagnostic information for doctors, such as: bone age assisted assessment, diabetic retinopathy, breast ultrasound tumor assisted detection, chest X-ray abnormal discrimination.

Electrophysiological data signal 
Confirm the diagnosis of disease through long-term continuous recording or dynamic changes of data. Completed AI products such as ECG arrhythmia and acute myocardial infarction detection, heart sound abnormality discrimination, etc., which have successively included patients’ physiological and test data into the database of model training to increase the reliability and validity of disease detection. 

Natural language processing technology (NLP) 
A key technology for extracting useful information from medical texts, transforming unstructured medical texts into structured data containing important medical information, thereby improving the quality of medical systems and reducing operating costs. For example, the developing system: nursing voice assistant, which performs automatic voice analysis and text generation to improve the efficiency of nursing affairs.

Bioinformatics field
Through the combination of AI and large-scale genetic and databases of molecular biology , more information can be connected to explore trends and patterns of biological effects, such as SNP disease analysis, combined with genetic information and medical imaging for Multi-Omics will also achieve more comprehensive precision medical auxiliary applications.

AI center is devoted to the application of clinical data in our hospital. Through objective and rational AI technology, the huge amount of data is transformed into a neural network model with substantial functions, and the second expert diagnosis information will be automatically provided when clinical specialists perform medical diagnosis, which incorporates professional medical decision-making to reduce the burden of analyzing large amounts of medical data. Combining big data and AI technology, a complete intelligent solution is established in terms of diagnosis, treatment and prognosis.