Literature DB >> 33650456

Automated Insulin Dosing Systems or Automated Insulin Delivery Systems? It is Time for Consistency.

David C Klonoff1, Trisha Shang2, Jennifer Zhang2.   

Abstract

Entities:  

Keywords:  artificial pancreas; automated; closed loop; delivery; dosing; insulin

Mesh:

Substances:

Year:  2021        PMID: 33650456      PMCID: PMC8256058          DOI: 10.1177/1932296821993498

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


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  5 in total

1.  THE MINIMED 670G HYBRID AUTOMATED INSULIN DELIVERY SYSTEM: SETTING THE RIGHT EXPECTATIONS.

Authors:  Lalantha Leelarathna; Hood Thabit
Journal:  Endocr Pract       Date:  2018-07       Impact factor: 3.443

2.  Human-in-the-Loop Insulin Dosing.

Authors:  B Wayne Bequette
Journal:  J Diabetes Sci Technol       Date:  2019-12-04

Review 3.  Artificial Intelligence in Decision Support Systems for Type 1 Diabetes.

Authors:  Nichole S Tyler; Peter G Jacobs
Journal:  Sensors (Basel)       Date:  2020-06-05       Impact factor: 3.576

Review 4.  Self-measurement of Blood Glucose and Continuous Glucose Monitoring - Is There Only One Future?

Authors:  Lutz Heinemann; Andreas Stuhr; Adam Brown; Guido Freckmann; Marc D Breton; Steven Russell; Lutz Heinemann
Journal:  Eur Endocrinol       Date:  2018-09-10

5.  Do-It-Yourself (DIY) Artificial Pancreas Systems for Type 1 Diabetes: Perspectives of Two Adult Users, Parent of a User and Healthcare Professionals.

Authors:  Syed Haris Ahmed; David L Ewins; Jane Bridges; Alison Timmis; Nicola Payne; Cormac Mooney; Claire MacGregor
Journal:  Adv Ther       Date:  2020-07-21       Impact factor: 3.845

  5 in total
  2 in total

1.  Treating an Unconscious Patient With Diabetes Wearing a Device Attached to Their Body.

Authors:  Lutz Heinemann; Kevin T Nguyen; Nicole Y Xu; Gregory H Gilbert; David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2022-03-16

Review 2.  Products for Monitoring Glucose Levels in the Human Body With Noninvasive Optical, Noninvasive Fluid Sampling, or Minimally Invasive Technologies.

Authors:  Trisha Shang; Jennifer Y Zhang; Andreas Thomas; Mark A Arnold; Beatrice N Vetter; Lutz Heinemann; David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2021-06-13
  2 in total

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