- Author:
Jae Hyoung CHO
1
Author Information
- Publication Type:Editorial
- Keywords: Artificial intelligence; Big data; Diabetes; Diagnosis; Medicine; Prediction
- MeSH: Artificial Intelligence*; Diabetes Complications; Diagnosis; Humans; Insulin; Learning; Machine Learning
- From:Journal of Korean Diabetes 2017;18(1):1-6
- CountryRepublic of Korea
- Language:Korean
- Abstract: Artificial intelligence is expected to be applied to various fields in industry and is also introducing a new era in the field of medicine. Artificial intelligence, which is called machine learning or deep learning, analyzes big data, identifies patterns, and performs a task according to an analysis result or pattern. In the medical field, artificial intelligence could be used for such things as disease diagnosis, prediction of complications, or correction of user behavior using big digital data collected from many sources and populations across the world. For diabetes, various studies to predict glycemic response or diabetic complications or to calculate insulin dose are being carried out. In the new era of artificial intelligence, diabetologists need to use the new system to obtain information more actively, explain it to patients in more detail, and support them based on evidence and data.