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With revolution in the technology, human life becomes easier and healthier. The technology is making human life better by developing such tools to identify the diseases and other disorders. Recently in medical science, an app has been launched to detect the most common disorder in blood. Earlier doctors usually detect anemia through a blood test called complete blood count (CBC). But now a new artificial intelligence app powered smartphone app can do the same thing, simply by analyzing a picture of someone’s nails.

So, detecting the most common blood disorder in the world is easy as taking a picture from a smartphone. Anemia is a condition in which a person’s blood does not contain enough functioning red blood cells, which are responsible for the transport of oxygen-carrying hemoglobin proteins throughout the body.

Seeing Red

According to the study one in four people that are nearly 2 billion have been troubled by this blood order the Anemia. It is basically a blood condition characterized by low blood hemoglobin level. The disorder in blood is responsible for many problems, such as fatigue, chest pain, or an irregular heartbeat. Problem in detection can prevent some people from even knowing they have the condition, meaning they never seek treatment for it.

Well the artificial intelligence app calculates the hemoglobin levels by analyzing color and metadata of fingernail bed smartphone photos and detects anemia. According to research publish in Nature Communications told that how they have trained an algorithm. That then analyzes the color of a person’s fingernail beds in a smartphone photo to determine the level of hemoglobin in their blood. This app has an accuracy of hemoglobin level is ±2.4 g dL−1 and a sensitivity of 97% (95% CI, 89–100%).

Initially for test, they took photos of the fingernail beds of 227 people, whom blood were test by levels CBC.  After that laboratory tests, they then created an algorithm that could convert a fingernail bed color to a hemoglobin level. When they tested this algorithm on 100 new subjects, they found it was accurate enough to serve as an effective anemia screening tool.

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