ArticleNPJ digital medicine2023
Enabling fully automated insulin delivery through meal detection and size estimation using Artificial Intelligence.
Article in NPJ digital medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Implementation and Applications of Artificial Intelligence in Nutrition: A Systematic Review of Use in Practice and Research.Nutrients · 2026Pooled it
- Efficacy and Safety of Automated Insulin Delivery Systems in Patients with Type 1 Diabetes Mellitus: A Systematic Review and Meta-Analysis.Diabetes & metabolism journal · 2025Pooled it
- Trial
- Knowledge-based, computerized, patient clinical decision support system for perioperative pain, nausea and constipation management: a clinical feasibility study.Journal of clinical monitoring and computing · 2024Trial
- Artificial Pancreas and Closed-Loop Insulin Delivery: From Early Concepts to AI-Driven Diabetes Automation.Biosensors · 2026Review
- From algorithm to alarm: a narrative review on insulin delivery innovation.Annals of medicine and surgery (2012) · 2026Article
- Artificial intelligence in cardio-kidney-metabolic care: Transforming integrated disease management through data-informed innovation.International journal of obesity (2005) · 2026Review
- On the road to fully automated insulin delivery: A systematic review of meal announcement free algorithms.PLOS digital health · 2026Article
- The Analytical Framework of Clinical Trials Evaluating Clinical Outcomes of Artificial Intelligence-Based Digital Health Interventions: A Systematic Literature Review.Journal of market access & health policy · 2026Review
- Artificial Intelligence in Type 1 Diabetes Management: A Scoping Review of Randomised Controlled Trials.Diabetes, obesity & metabolism · 2026Article
- Performance of continuous glucose monitoring-based meal detection algorithms in young healthy adults.Scientific reports · 2026Article
- A personalized and automated real-time meal detection algorithm based on continuous glucose monitoring and heart rate data for individuals with post-bariatric hypoglycemia.Frontiers in digital health · 2026Article
- Identifying and Intervening on Glucose Patterns in Multivariate Data Using Block-Based Recurrence Quantification Analysis.Journal of diabetes science and technology · 2025Article
- App-based automated meal analysis in adults with type 1 diabetes using automated insulin delivery: a randomized controlled trial.EClinicalMedicine · 2025Article
- Generalized multi task learning framework for glucose forecasting and hypoglycemia detection using simulation to reality.NPJ digital medicine · 2025Article
- Is Simplified Meal Announcement an Alternative to Exact Carbohydrate Counting in Patients With Type-1 Diabetes Using an Advanced Hybrid Closed-Loop System? A Systematic Review and Meta-Analysis.Journal of diabetes science and technology · 2025Review
- Research Gaps, Challenges, and Opportunities in Automated Insulin Delivery Systems.Diabetes technology & therapeutics · 2025Review
- Research Gaps, Challenges, and Opportunities in Automated Insulin Delivery Systems.Journal of diabetes science and technology · 2025Review
- Mealtime prediction using wearable insulin pump data to support diabetes management.Scientific reports · 2024Article
- An automatic deep reinforcement learning bolus calculator for automated insulin delivery systems.Scientific reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
We present a robust insulin delivery system that includes automated meal detection and carbohydrate content estimation using machine learning for meal insulin dosing called robust artificial pancreas (RAP). We conducted a randomized, single-center crossover trial to compare postprandial glucose control in the four hours following unannounced meals using a hybrid model predictive control (MPC) algorithm and the RAP system. The RAP system includes a neural network model to automatically detect meals and deliver a recommended meal insulin dose. The meal detection algorithm has a sensitivity of 83.3%, false discovery rate of 16.6%, and mean detection time of 25.9 minutes. While there is no significant difference in incremental area under the curve of glucose, RAP significantly reduces time above range (glucose >180 mg/dL) by 10.8% (P = 0.04) and trends toward increasing time in range (70-180 mg/dL) by 9.1% compared with MPC. Time below range (glucose <70 mg/dL) is not significantly different between RAP and MPC.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.