Hemoglobin Easy Measurement With Optical Artificial Intelligence

Completed

• Conditions: Hemoglobin; Deficiency

• Registration Number: NCT04573244
• Lead Sponsor: MYOR Ltd.

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Study Start: 2020-9-15
• Last Update Posted: 2 September 2024

Recruitment & Eligibility

• Status: Completed
• Sex: All
• Target Recruitment: Not specified

Inclusion Criteria

Inclusion Criteria:<br><br> 1. A patient aged 6 months to 18 years.<br><br> 2. A patient who has undergone a venous blood draw for a CBC since being admitted to<br> the PED no more than 6 hours prior to study enrollment.<br><br> 3. Parents or legal guardian provide informed written consent.<br><br>Exclusion Criteria:<br><br> 1. Patient has subungual hematoma, nail bed lacerations or avulsion injuries on both<br> hands.<br><br> 2. Patient has total leukonychia.<br><br> 3. Patient has nail polish applied on fingernails.<br><br> 4. Patient has nailbed darkening or discoloration due to medication.<br><br> 5. Any other reason that, in the opinion of the investigator, prevents the subject from<br> participating in the study or compromise the patient safety.

Exclusion Criteria

Not provided

Study & Design

• Study Type: Observational
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
To determine whether computational learning methods can be applied to fingernail images captured via a smartphone camera to quantify blood hemoglobin levels.

Secondary Outcome Measures

Name	Time	Method
To determine whether computational learning methods can be applied to fingernail images captured via a smartphone camera to screen for anemia as defined by the WHO;To determine whether computational learning methods can be applied to fingernail images captured via a smartphone camera to quantify other elements of the CBC