Linear motor AI diagnoses skin cancer beyond doctors. With artificial intelligence (AI) technology coming a long way, many of the work that humans are engaged in may be replaced by artificial intelligence in the future. A joint study of German, French, and American scientists found that artificial intelligence's ability to diagnose skin cancer for the first time surpassed that of dermatologists, helping to speed up the diagnosis process, helping patients fight cancer as early as possible, and reducing the risk of normal paralysis being misdiagnosed as cancer.

     Scientists used the Convolutional Neural Network (CNN) system to create the artificial intelligence system used in this research. CNN mimics the operation of the human brain's nerve cells so that the computer can look like the naked human eye and identify the eyes. The more images that are accumulated, the more accurate the artificial intelligence will be.

     Leading researcher Professor Heisler of the University of Heidelberg in Germany pointed out that artificial intelligence systems are less likely to “look at the eye” for melanoma, and at the same time, they are less likely to misdiagnose normal malignancy and have higher sensitivity than dermatologists.

     The research team said that artificial intelligence will help speed up the diagnosis of skin cancer, allowing doctors to remove cancer cells early before they spread, and also avoid the need for unnecessary surgery for patients with benign growth.

     However, researchers believe that artificial intelligence still cannot replace doctors completely. The reason is that melanomas on the fingers, toes and scalp are difficult to record with photographs. In addition, the appearance of some lesions is very special, and artificial intelligence is difficult to identify. Doctors can also help patients find out before Undetected suspicious wounds. Experts said that there is no way to replace clinical examination at this stage.

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