Artificial Intelligence to Diagnose Complications of Diabetes

被引:0
|
作者
Ayers, Alessandra T. [1 ]
Ho, Cindy N. [1 ]
Kerr, David [2 ]
Cichosz, Simon Lebech [3 ]
Mathioudakis, Nestoras [4 ]
Wang, Michelle [5 ]
Najafi, Bijan [6 ,7 ]
Moon, Sun-Joon [8 ]
Pandey, Ambarish [9 ]
Klonoff, David C. [1 ,10 ]
机构
[1] Diabet Technol Soc, Burlingame, CA USA
[2] Sutter Hlth, Ctr Hlth Syst Res, Santa Barbara, CA USA
[3] Aalborg Univ, Dept Hlth Sci & Technol, Aalborg, Denmark
[4] Johns Hopkins Univ, Sch Med, Baltimore, MD USA
[5] Univ Calif San Francisco, San Francisco, CA USA
[6] Baylor Coll Med, Michael E DeBakey Dept Surg, Houston, TX USA
[7] Univ Calif Los Angeles UCLA, Ctr Adv Surg & Intervent Technol CASIT, Geffen Sch Med, Dept Surg, Los Angeles, CA USA
[8] Sungkyunkwan Univ, Kangbuk Samsung Hosp, Dept Internal Med, Div Endocrinol & Metab,Sch Med, Seoul, South Korea
[9] UT Southwestern Med Ctr, Dept Internal Med, Div Cardiol & Geriatr, Dallas, TX USA
[10] Mills Peninsula Med Ctr, Diabet Res Inst, 100 South San Mateo Dr,Room 1165, San Mateo, CA 94401 USA
来源
JOURNAL OF DIABETES SCIENCE AND TECHNOLOGY | 2025年 / 19卷 / 01期
关键词
artificial intelligence; complications; diabetes; diagnosis; machine learning; INPATIENT HYPOGLYCEMIA; NOCTURNAL HYPOGLYCEMIA; HEART-FAILURE; VALIDATION; RISK; PREDICTION; NEUROPATHY; MODEL; HEALTH;
D O I
10.1177/19322968241287773
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Artificial intelligence (AI) is increasingly being used to diagnose complications of diabetes. Artificial intelligence is technology that enables computers and machines to simulate human intelligence and solve complicated problems. In this article, we address current and likely future applications for AI to be applied to diabetes and its complications, including pharmacoadherence to therapy, diagnosis of hypoglycemia, diabetic eye disease, diabetic kidney diseases, diabetic neuropathy, diabetic foot ulcers, and heart failure in diabetes. Artificial intelligence is advantageous because it can handle large and complex datasets from a variety of sources. With each additional type of data incorporated into a clinical picture of a patient, the calculation becomes increasingly complex and specific. Artificial intelligence is the foundation of emerging medical technologies; it will power the future of diagnosing diabetes complications.
引用
收藏
页码:246 / 264
页数:19
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