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Blood hemoglobin levels are an extremely important measure for a large swath of medical procedures as they reflect the oxygen-carrying capacity of human blood. The gold standard measure for blood hemoglobin levels involve a venous blood draw followed by a laboratory-based complete blood count (CBC), a process which is both painful and time consuming. To date, various methodologies have been tested to either expediate the process or provide a non-invasive alternative. There remains a need to provide a quick, pain-free/non-invasive and accurate modality to measure blood hemoglobin levels. The objective of this study is to determine whether computer vision technologies can be applied to fingernail images captured via a smartphone camera to quantify blood hemoglobin levels.
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| Measure | Description | Time Frame |
|---|---|---|
| To determine whether computational learning methods can be applied to fingernail images captured via a smartphone camera to quantify blood hemoglobin levels. | Evaluated using the hemoglobin portion of a conventional complete blood count (CBC) | 6 months |
| Measure | Description | Time Frame |
|---|---|---|
| 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 | Evaluated using the hemoglobin portion of a conventional complete blood count (CBC). Anemia cutoff for children aged 6 months to 6 years = 11 g/dL and for children aged 6-14 years = 12 g/dL. | 6 months |
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Inclusion Criteria:
Exclusion Criteria:
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Pediatric patients admitted to the Pediatric Department, Pediatric Emergency Department (PED) or Pediatric Hematology Unit (PHU) who have undergone a CBC
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| Name | Affiliation | Role |
|---|---|---|
| Gilad Moshe Chayen, MD | Emek Medical Center | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Emek Medical Center | Afula | Israel |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 39640961 | Derived | Gordon D, Hoffman J, Gamrasni K, Barlev Y, Levine A, Landau T, Shpiegel R, Lahad A, Koren A, Levin C, Naor O, Lee H, Liu X, Patel S, Chayen G, Brandwein M. Artificial intelligence-enabled non-invasive ubiquitous anemia screening: The HEMO-AI pilot study on pediatric population. Digit Health. 2024 Dec 5;10:20552076241297057. doi: 10.1177/20552076241297057. eCollection 2024 Jan-Dec. |
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| To determine whether computational learning methods can be applied to fingernail images captured via a smartphone camera to quantify other elements of the CBC | Evaluated using the hemoglobin portion of a conventional complete blood count (CBC) | 6 months |