Artificial intelligence perspective in the future of endocrine diseases

被引:0
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作者
Mandana Hasanzad
Hamid Reza Aghaei Meybodi
Negar Sarhangi
Bagher Larijani
机构
[1] Islamic Azad University,Medical Genomics Research Center, Tehran Medical Sciences
[2] Tehran University of Medical Sciences,Personalized Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute
[3] Tehran University of Medical Sciences,Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute
关键词
Artificial intelligence; Machine learning; Diabetes; Osteoporosis; Thyroid cancer;
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摘要
In recent years, artificial intelligence (AI) shows promising results in the diagnosis, prediction, and management of diseases. The move from handwritten medical notes to electronic health records and a huge number of digital data commenced in the era of big data in medicine. AI can improve physician performance and help better clinical decision making which is called augmented intelligence. The methods applied in the research of AI and endocrinology include machine learning, artificial neural networks, and natural language processing. Current research in AI technology is making major efforts to improve decision support systems for patient use. One of the best-known applications of AI in endocrinology was seen in diabetes management, which includes prediction, diagnosis of diabetes complications (measuring microalbuminuria, retinopathy), and glycemic control. AI-related technologies are being found to assist in the diagnosis of other endocrine diseases such as thyroid cancer and osteoporosis. This review attempts to provide insight for the development of prospective for AI with a focus on endocrinology.
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页码:971 / 978
页数:7
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