Using Artificial Intelligence to Improve the Accuracy of a Wrist-Worn, Noninvasive Glucose Monitor: A Pilot Study.

Muhammad Rafaqat Ali QureshiStephen Charles BainStephen LuzioConsuelo HandyDaniel J FowlesBradley LoveKathie WarehamLucy BarlowGareth J DunseathJoel CraneIsamar Carrillo MassoJulia A M RyanMohamed Sabih Chaudhry

Published in: Journal of diabetes science and technology (2024)

These findings show that MARD values approaching accuracies comparable to current commercial alternatives can be obtained from a multiparticipant pilot study with the application of AI. Microwave biosensors and AI models show promise for improving the accuracy and convenience of glucose monitoring systems for people with diabetes.

Keyphrases

artificial intelligence
big data
machine learning
deep learning
type diabetes
cardiovascular disease
glycemic control
blood glucose
radiofrequency ablation
metabolic syndrome