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Artificial Intelligence to Improve Cardiometabolic Risk Evaluation Using CT Scans
Sponsor: Caristo Diagnostics Limited
Summary
To validate the ability of the FatHealth algorithm to identify individuals with pre-diabetes and with type 2 diabetes mellitus
Key Details
Gender
All
Age Range
18 Years - 80 Years
Study Type
INTERVENTIONAL
Enrollment
180
Start Date
2025-02-15
Completion Date
2025-02-28
Last Updated
2025-02-13
Healthy Volunteers
Yes
Conditions
Interventions
Oral Glucose Tolerance Test
* Obtain blood sample for glucose assessment (time "0" sample). This may be obtained via venepuncture or after cannula insertion. * Test a small sample using a near patient glucose testing meter. If the result on the glucose meter is greater than or equal to 11mmol/L, send the blood sample urgently to lab. If it is confirmed by biochemistry to be above 11mmol/L, there is no need to continue test. * If the result is less than 11mmol/L on meter, give the patient the glucose solution to drink. * Collect a further blood sample at 120 minutes. * Send samples all together to laboratory for glucose measurement.