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Personalized Blood Glucose Forecasting From Limited CGM Data Using Incrementally Retrained LSTM.
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Safety and Feasibility of the PEPPER Adaptive Bolus Advisor and Safety System: A Randomized Control Study.
Diabetes Technol Ther. 2021 Mar;23(3):175-186. doi: 10.1089/dia.2020.0301.
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An artificial intelligence decision support system for the management of type 1 diabetes.
Nat Metab. 2020 Jul;2(7):612-619. doi: 10.1038/s42255-020-0212-y. Epub 2020 Jun 1.
4
Use of Artificial Intelligence to Improve Diabetes Outcomes in Patients Using Multiple Daily Injections Therapy.
Diabetes Technol Ther. 2019 Jun;21(S2):S24-S28. doi: 10.1089/dia.2019.0077.
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16. Diabetes Advocacy: .
Diabetes Care. 2019 Jan;42(Suppl 1):S182-S183. doi: 10.2337/dc19-S016.
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Evaluation of clinical decision support systems for diabetes care: An overview of current evidence.
J Eval Clin Pract. 2019 Feb;25(1):66-77. doi: 10.1111/jep.12968. Epub 2018 Jun 26.
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Diabetes Technology Update: Use of Insulin Pumps and Continuous Glucose Monitoring in the Hospital.
Diabetes Care. 2018 Aug;41(8):1579-1589. doi: 10.2337/dci18-0002. Epub 2018 Jun 23.
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Artificial Intelligence for Diabetes Management and Decision Support: Literature Review.
J Med Internet Res. 2018 May 30;20(5):e10775. doi: 10.2196/10775.
10
Optimal Use of Diabetes Devices: Clinician Perspectives on Barriers and Adherence to Device Use.
J Diabetes Sci Technol. 2017 May;11(3):484-492. doi: 10.1177/1932296816688010. Epub 2017 Jan 10.

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