Google has acquired another specialization. Based on a photo of the retina, he will recognize anemia

google ai retina diagnostics

Just a moment, and the artificial intelligence developed by Google will be the most comprehensive doctor in the world who will be able to diagnose his patients instantly.

For example, based on a photo of their retina. The Google Deepmind algorithm has already been able to identify people who may develop coronary heart disease on this basis. Now, based on the same photo, he will also be able to detect anemia , i.e. anemia.

Google's artificial intelligence will detect anemia

Anemia is a common complication associated with diabetes and chronic kidney disease (CKD). How will Google detect it? According to the guidelines of the World Health Organization, anemia is diagnosed when hemoglobin levels are less than 13 g / dl in men and 12 g / dl in women. The algorithm is able to quite accurately assess the concentration of this substance based on the photo of the retina of the eye, using the method of quantification.

The current accuracy of the algorithm when it comes to detecting anemia is 88 percent . What's more, this result was confirmed by human doctors who checked if the algorithm was wrong somewhere.

Coronary artery disease, anemia, cancer.

Google also boasts that their algorithm is slowly getting better at diagnosing breast cancer . And it copes well with it when it comes to the accuracy of the diagnosis. In the case of the aforementioned coronary diseases, the effectiveness of Deepmind is so far about 70 percent. It is not enough to give up consultations with a human specialist. When breast cancer is detected, the situation is quite different.

Deepmind is currently used as a specialist in breast cancer in two countries: the United States and Great Britain. In the US, Deepmind's effectiveness turned out to be 5.7 percent higher for false positive test results and 9.4 percent for false negative results. The latter number is particularly impressive - it means that the Google algorithm detected by 9.4 percent. more cancers than American specialists.

As for the results obtained in Great Britain, they are already slightly less impressive - 1.2 percent. higher detection of false positive cases and 2.7% more false negative cases. Why the difference between the United States and Great Britain? I will write diplomatically that the British have a visibly better system for diagnosing breast cancer.

Google Doctor, please, come to the room.

The creators responsible for creating this computer diagnostic platform point out that the above results were obtained at an early, experimental stage. However, the effectiveness of the algorithm itself is definitely better if we compare it with the results of human specialists.

In a dozen or so years, the effectiveness of computer diagnostics will exceed the capabilities of even the best human doctors in all areas. In addition, such medical devices will be able to process much more data during check-ups. This will translate into faster and more effective detection of diseases at an early stage. In short: we will live longer and be healthier.

The only question is what will happen to the human profession of a doctor? Since computers will be better in every respect, then there will be room in medicine for people ... for medicine. I hope that we will somehow secure ourselves in an event in which we stop understanding how our new digital doctors work.



Google has acquired another specialization. Based on a photo of the retina, he will recognize anemia

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