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OCT and OCT-A Deep Learning in Diabetic Patients Wiht Artificial Pancreas Device

NCT05809843 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 11

Last updated 2023-04-12

No results posted yet for this study

Summary

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.

Conditions

  • Type 1 Diabetes Mellitus With Artificial Pancreas Device

Interventions

DEVICE

hybrid artificial pancreas systems (CSII)

artificial device that adjust the patient's glycemic levels with insulin doses appropriate to the patient's blood glucose

Sponsors & Collaborators

  • Federico II University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-01-30
Primary Completion
2023-03-23
Completion
2023-03-23

Countries

  • Italy

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05809843 on ClinicalTrials.gov