Worried you might be anaemic? Take a selfie of your EYE: Smartphone photos of your inner eyelid can be used to detect iron deficiency, study finds
- Scientists develop detection technology to spot signs of anaemia under the eye
- They used images of people's palpebral conjunctiva, which is paler with anaemia
- Anaemia is a deficiency in the number or quality of red blood cells in your body A photo of a person's inner eyelid taken with a standard smartphone camera can be used to screen for anaemia, a new study claims.
Researchers in Rhode Island developed an artificial intelligence (AI) powered model to analyse photos of the inside of people's lower eyelids, known as the palpebral conjunctiva, which appears paler with anemia.
The technology could power an app that determines if someone has anaemia through smartphone photos, instead of blood tests, the experts claim. Anaemia, commonly caused by a shortage of iron in your body, is a deficiency in the number or quality of red blood cells in your body.
Red blood cells contain hemoglobin, which carries oxygen – and without enough hemoglobin and oxygen, the skin can turn a pale colour.
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A photo of a person's inner eyelid taken with a standard smartphone camera can be used to screen for anaemia, researchers in Rhode Island report. Pictured is a photo of an palpebral conjunctiva used in the studyThe condition affects an estimated 5.6 per cent of Americans and more than 25 per cent of the global population.
This new study, led by Dr Selim Suner of Brown University and Rhode Island Hospital in the US, could provide a more accessible method of diagnosis.
'Anaemia, defined as a low hemoglobin concentration, has a large impact on the health of the world’s population,' Dr Suner and colleagues say in their paper.
Images shows the hands of someone with severe anaemia (bottom) due to blood loss comparing to the skin of a normal healthy individual (top)
'We describe the use of a ubiquitous device, the smartphone, to predict hemoglobin concentration and screen for anaemia.'
The experts say having anaemia is a significant risk factor for mortality, especially in vulnerable populations such as children, the elderly and the chronically ill.
However, there is an 'unmet need' for inexpensive, accessible and non-invasive point-of-care tools to screen for and diagnose the condition.
Previous studies have shown that the palpebral conjunctiva appears paler with anaemia and is a more accurate indicator of the condition than a person's palms or nail beds.
They zoomed into a small region of the conjunctiva in each photo and developed a new algorithm to boost color resolution – the ability of each pixel to represent a wide variety of colour tones.
They then developed a prediction model linking conjunctiva color, compared to the surrounding skin and whites of the eyes, to hemoglobin levels.
Then, the researchers tested the new algorithms on photos collected from another 202 new anaemia patients.
Anemia is a condition in which you lack enough healthy red blood cells to carry adequate oxygen to your body's tissues (stock image of red blood cells)
When analysing the new set of photographs, the model was 72 per cent accurate at detecting anaemia, the team found.
Accuracy for transfusion thresholds was higher, at 94.4 per cent accurate for a low transfusion threshold and 86 per cent accurate for a higher threshold.
'Transfusion threshold refers to the level of anaemia which requires a blood tranfusion,' Dr Suner said.
'Typically this is at a level of hemoglobin at 7.0g/dL [grams per decilitre].'
Skin tone did not change results, although image quality had some effect.
The results suggest that a smartphone app could be used to screen for anaemia in a telehealth or remote setting where blood tests aren't available.
'Images of the lower eyelid's vascular surface obtained by a smartphone camera can be utilized to estimate blood hemoglobin concentration and predict anaemia which is a serious health condition afflicting billions of people world-wide with a disproportionate effect in developing countries,' the authors say.
'Utilisation of non-invasive techniques to detect anaemia opens the door to widespread screening, early diagnosis and treatment, particularly in low resource settings where access to healthcare is sparce.'
The study has been published in the open-access journal PLOS One.
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