Endocrine and Metabolic Forum
Application and prospect of artificial intelligence in the field of endocrinology and metabolism
Lin Ziwei, Wu Shandong, Qu Shen
Published 2021-02-25
Cite as Chin J Endocrinol Metab, 2021, 37(2): 89-93. DOI: 10.3760/cma.j.cn311282-20200225-00097
Abstract
Artificial intelligence (AI) is among the forefront science in recent years. The rapid development of intelligent medicine based on AI, a new concept in the medical field, has resulted in a large impact on traditional medicine. AI poses a great opportunity and also many challenges for clinical physicians. Recently, researches in the development and application of AI are increasingly published in the field of endocrinology, such as the diagnosis and prediction of diabetes and its complications, the optimizing treatment and blood glucose management, the development of artificial pancreas, the diagnosis and treatment of obesity, the prognosis of bariatric surgery, osteoporosis and fracture prediction, bone age analysis, non-invasive assessment of liver steatosis and fibrosis, diagnosis of acromegaly, pathological diagnosis of thyroid and pituitary tumors. Nevertheless, the clinical applications of AI for medicine are still at an initial stage. With the rapid development of AI, we are expecting that it will play a pivotal role in the field of endocrinology and metabolism in the future. This is a new era for medical community to embrace new technology. Only with the properly dealing with the innovation of AI, a win-win result could be achieved.
Key words:
Artificial intelligence; Endocrinology and metabolism
Contributor Information
Lin Ziwei
Endocrinology and Metabolism Center, National Metabolic Management Center, Division of Metabolic Surgery for Obesity and Diabetes, Shanghai Tenth People′s Hospital, Tongji University School of Medicine, Shanghai 200072, China
Wu Shandong
Department of Radiology, Department of Biomedical Informatics, Department of Bioengineering, Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA 15213, USA
Qu Shen
Endocrinology and Metabolism Center, National Metabolic Management Center, Division of Metabolic Surgery for Obesity and Diabetes, Shanghai Tenth People′s Hospital, Tongji University School of Medicine, Shanghai 200072, China