University of Naples "Federico II"
Naples, 80100, Italy
NCT Number: NCT05809843
This study evaluates the ability of deep learning to improve the knowledge about structural and vascular retinal changes in diabetic patients undergoing artificial pancreas device, using optical coherence tomography angiography.
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Notify Me18 year–80 year
All sexes
Observational
Naples, 80100, Italy
hybrid artificial pancreas systems (CSII) are able to adjust the type 1 diabetic patient's glycemic levels with insulin doses appropriate to the patient's blood glucose.
The optical coherence tomography angiography represents a novel and noninvasive diagnostic technique that allows a detailed and quantitative analysis of retinal and choriocapillary vascular features.
The study evaluates the changes in optical coherence tomography angiography features in diabetic patients undergoing artificial pancreas device, elaborating these data with artificial intelligence.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
artificial device that adjust the patient's glycemic levels with insulin doses appropriate to the patient's blood glucose
Time frame: up to 3months
The parameters analyzed by optical coherence tomography angiography were: retinal and choriocapillary vessel density matched with clinical parameters resulted from the artificial pancreas device
Federico II University
Other
Deep Learning in Vascular and Structural Retinal Changes in Diabetic Patients Undergoing Artificial Pancreas Device
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