Cargando…

Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring Sensors

Wearable continuous glucose monitoring (CGM) sensors are revolutionizing the treatment of type 1 diabetes (T1D). These sensors provide in real-time, every 1–5 min, the current blood glucose concentration and its rate-of-change, two key pieces of information for improving the determination of exogeno...

Descripción completa

Detalles Bibliográficos
Autores principales:	Vettoretti, Martina, Cappon, Giacomo, Facchinetti, Andrea, Sparacino, Giovanni
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412387/ https://www.ncbi.nlm.nih.gov/pubmed/32664432 http://dx.doi.org/10.3390/s20143870

Ejemplares similares

Continuous Glucose Monitoring Sensors for Diabetes Management: A Review of Technologies and Applications
por: Cappon, Giacomo, et al.
Publicado: (2019)

Calibration of Minimally Invasive Continuous Glucose Monitoring Sensors: State-of-The-Art and Current Perspectives
por: Acciaroli, Giada, et al.
Publicado: (2018)

Development of an Error Model for a Factory-Calibrated Continuous Glucose Monitoring Sensor with 10-Day Lifetime
por: Vettoretti, Martina, et al.
Publicado: (2019)

Forecasting of Glucose Levels and Hypoglycemic Events: Head-to-Head Comparison of Linear and Nonlinear Data-Driven Algorithms Based on Continuous Glucose Monitoring Data Only
por: Prendin, Francesco, et al.
Publicado: (2021)

Italian Contributions to the Development of Continuous Glucose Monitoring Sensors for Diabetes Management
por: Sparacino, Giovanni, et al.
Publicado: (2012)

“Smart” Continuous Glucose Monitoring Sensors: On-Line Signal Processing Issues
por: Sparacino, Giovanni, et al.
Publicado: (2010)

Design of clinical trials to assess diabetes treatment: Minimum duration of continuous glucose monitoring data to estimate time‐in‐ranges with the desired precision
por: Camerlingo, Nunzio, et al.
Publicado: (2021)

An analytical approach to determine the optimal duration of continuous glucose monitoring data required to reliably estimate time in hypoglycemia
por: Camerlingo, Nunzio, et al.
Publicado: (2020)

Combining continuous glucose monitoring and insulin pumps to automatically tune the basal insulin infusion in diabetes therapy: a review
por: Vettoretti, Martina, et al.
Publicado: (2019)

The importance of interpreting machine learning models for blood glucose prediction in diabetes: an analysis using SHAP
por: Prendin, Francesco, et al.
Publicado: (2023)

Modeling Carbohydrate Counting Error in Type 1 Diabetes Management
por: Roversi, Chiara, et al.
Publicado: (2020)

Classification of Postprandial Glycemic Status with Application to Insulin Dosing in Type 1 Diabetes—An In Silico Proof-of-Concept
por: Cappon, Giacomo, et al.
Publicado: (2019)

Mathematical Models of Meal Amount and Timing Variability With Implementation in the Type-1 Diabetes Patient Decision Simulator
por: Camerlingo, Nunzio, et al.
Publicado: (2020)

Non-Invasive Continuous Glucose Monitoring with Multi-Sensor Systems: A Monte Carlo-Based Methodology for Assessing Calibration Robustness
por: Zanon, Mattia, et al.
Publicado: (2013)

Impact of Carbohydrate Counting Error on Glycemic Control in Open-Loop Management of Type 1 Diabetes: Quantitative Assessment Through an In Silico Trial
por: Roversi, Chiara, et al.
Publicado: (2021)

Real-Time Improvement of Continuous Glucose Monitoring Accuracy: The smart sensor concept
por: Facchinetti, Andrea, et al.
Publicado: (2013)

Continuous Glucose Monitoring Sensors: Past, Present and Future Algorithmic Challenges
por: Facchinetti, Andrea
Publicado: (2016)

Forecasting postbariatric hypoglycaemia in patients after Roux‐en‐Y gastric bypass using model‐based algorithms fed by continuous glucose monitoring data: A proof‐of‐concept study
por: Prendin, Francesco, et al.
Publicado: (2022)

Retrospective Continuous-Time Blood Glucose Estimation in Free Living Conditions with a Non-Invasive Multisensor Device
por: Acciaroli, Giada, et al.
Publicado: (2019)

A “Slide Rule” to Adjust Insulin Dose Using Trend Arrows in Adults with Type 1 Diabetes: Test in Silico and in Real Life
por: Bruttomesso, Daniela, et al.
Publicado: (2021)

Implantable and transcutaneous continuous glucose monitoring system: a randomized cross over trial comparing accuracy, efficacy and acceptance
por: Boscari, F., et al.
Publicado: (2021)

Emerging Diabetes Technologies: Continuous Glucose Monitors/Artificial Pancreases
por: Almurashi, Abdulhalim M., et al.
Publicado: (2023)

Impaction of a continuous glucose monitoring sensor
por: Park, Kyong Chan, et al.
Publicado: (2021)

Assessment of Seasonal Stochastic Local Models for Glucose Prediction without Meal Size Information under Free-Living Conditions
por: Prendin, Francesco, et al.
Publicado: (2022)

Continuous Glucose Monitoring Metrics in the Assessment of Glycemia in Moderate-to-Advanced CKD in Diabetes
por: Ling, James, et al.
Publicado: (2022)

Controversies and Advances in Gestational Diabetes—An Update in the Era of Continuous Glucose Monitoring
por: Carreiro, Marina P., et al.
Publicado: (2018)

A review of non-invasive sensors and artificial intelligence models for diabetic foot monitoring
por: Kaselimi, Maria, et al.
Publicado: (2022)

Comprehensive Review on Wearable Sweat-Glucose Sensors for Continuous Glucose Monitoring
por: Zafar, Hima, et al.
Publicado: (2022)

Consistency of Continuous Ambulatory Interstitial Glucose Monitoring Sensors
por: Wu, Pei T., et al.
Publicado: (2018)

Patent analysis of digital sensors for continuous glucose monitoring
por: Litvinova, Olena, et al.
Publicado: (2023)

Advancing Artificial Intelligence in Sensors, Signals, and Imaging Informatics
por: Hsu, William, et al.
Publicado: (2019)

Diabetes: the role of continuous glucose monitoring
por: Kluemper, Julianna Rivich, et al.
Publicado: (2022)

Artificial intelligence in diabetes management: Advancements, opportunities, and challenges
por: Guan, Zhouyu, et al.
Publicado: (2023)

Advanced Technology in the Management of Diabetes: Which Comes First—Continuous Glucose Monitor or Insulin Pump?
por: Martin, Christopher T., et al.
Publicado: (2019)

Unannounced Meals in the Artificial Pancreas: Detection Using Continuous Glucose Monitoring
por: Ramkissoon, Charrise M., et al.
Publicado: (2018)

Bacterial strains colonizing the sensor electrodes of a continuous glucose monitoring system in children with diabetes
por: Seget, Sebastian, et al.
Publicado: (2020)

A model to forecast the two-year variation of subjective wellbeing in the elderly population
por: Trescato, Isotta, et al.
Publicado: (2023)

Recent Advance of Intelligent Packaging Aided by Artificial Intelligence for Monitoring Food Freshness
por: Li, Xiaoxuan, et al.
Publicado: (2023)

Advances in Biosensors for Continuous Glucose Monitoring Towards Wearables
por: Johnston, Lucy, et al.
Publicado: (2021)

The Rationale for Continuous Glucose Monitoring-based Diabetes Treatment Decisions and Non-adjunctive Continuous Glucose Monitoring Use
por: Price, David, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_dplfe5d90espng0mlhulsimk9a