NCT05482958

DECIDE-CV Using AI

Delivering Evidence Based Care Using Artificial Intelligence to Patients With Diabetes and CardioVascular Comorbidities: The DECIDE-CV Innovation Project

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 210 (actual)
• Sponsor: McGill University Health Centre/Research Institute of the McGill University Health Centre · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

Summary

The purpose of this study is to identify digital biomarkers associated with type 2 diabetes mellitus (T2DM) by combining sensor data from a wrist-worn wearable and clinical data. This will be done by recruiting patients with and without diabetes within the cardio-metabolic clinics a the MUHC. Consented patients will be provided with a HOP Technologies (HOP) watch in this project across two observation periods. The Watch-HOP platform facilitates the development of predictive algorithms built with data collected in a clinical setting or at home in a passive (sensors) and active (self-assessments) way. Data from the Watch-Hop will be analyzed using machine learning strategies to determine associations with clinical measures of T2DM.

Detailed description

The epidemic of type 2 diabetes mellitus (T2DM) continues to increase. Sensor technologies and artificial intelligence present us with an opportunity to identify patients suffering from T2DM and to optimize their treatment. Specifically, our primary objective is to identify digital biomarkers associated with T2DM by combining sensor data from a wrist-worn wearable and clinical data.

Conditions

• Type 2 Diabetes

Interventions

Type	Name	Description
DEVICE	HOP watch	A multisensor smartwatch that includes neurophysiological sensors such as heart rate sensor to monitor the vitals of the participant.

Timeline

• Start date: 2022-07-29
• Primary completion: 2025-09-15
• Completion: 2025-09-29
• First posted: 2022-08-01
• Last updated: 2025-12-17

Locations

1 site across 1 country: Canada