AI Detects Skin Cancer Better than Top Dermatologists
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Skin Cancer
An artificial intelligence system detects skin cancer better than leading dermatologists. That's the conclusion of a study done by researchers at the University of Heidelberg in Germany. The accuracy of the AI system and the opportunity it provides to detect skin cancer early is highly significant. Globally, 232,000 new cases of melanoma are reported every year.
AI Deep Learning
The researchers trained a form of artificial intelligence or machine learning known as a deep learning convolutional neural network (CNN). The system was trained to identify skin cancer by showing it more than 100,000 images of malignant melanomas, which is the most deadly form of skin cancer, as well as benign moles.
Revealing Results
The CNN was tested on 300 images to determine if they were melanomas or benign. 58 top international dermatologists from 17 nations made the same evaluations. The AI CNN system was 95% accurate in diagnosing melanoma and more accurate in diagnosing benign moles. The dermatologists were 86% accurate on melanomas and 71% accurate on benign moles, The dermatologists did slightly better when they had more than just dermoscopic images such as case histories. The AI system is a very significant tool for dermatologists to use.
An artificial intelligence system detects skin cancer better than leading dermatologists. That's the conclusion of a study done by researchers at the University of Heidelberg in Germany. The accuracy of the AI system and the opportunity it provides to detect skin cancer early is highly significant. Globally, 232,000 new cases of melanoma are reported every year.
AI Deep Learning
The researchers trained a form of artificial intelligence or machine learning known as a deep learning convolutional neural network (CNN). The system was trained to identify skin cancer by showing it more than 100,000 images of malignant melanomas, which is the most deadly form of skin cancer, as well as benign moles.
Revealing Results
The CNN was tested on 300 images to determine if they were melanomas or benign. 58 top international dermatologists from 17 nations made the same evaluations. The AI CNN system was 95% accurate in diagnosing melanoma and more accurate in diagnosing benign moles. The dermatologists were 86% accurate on melanomas and 71% accurate on benign moles, The dermatologists did slightly better when they had more than just dermoscopic images such as case histories. The AI system is a very significant tool for dermatologists to use.
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