Study shows AI Computer is Better at Finding Skin Cancer than Doctors

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A computer was better than human dermatologists at detecting skin cancer in a study that pitted human against machine in the quest for better, faster diagnostics, researchers said Tuesday.

A team from Germany, the United States and France taught an artificial intelligence system to distinguish dangerous skin lesions from benign ones, showing it more than 100,000 images.

The machine -- a deep learning convolutional neural network or CNN -- was then tested against 58 dermatologists from 17 countries, shown photos of malignant melanomas and benign moles.

Just over half the dermatologists were at "expert" level with more than five years of experience, 19 percent had between two and five years' experience, and 29 percent were beginners with less than two years under their belt.

"Most dermatologists were outperformed by the CNN," the research team wrote in a paper published in the journal Annals of Oncology.

On average, flesh and blood dermatologists accurately detected 86.6 percent of skin cancers from the images, compared to 95 percent for the CNN.

"The CNN missed fewer melanomas, meaning it had a higher sensitivity than the dermatologists," the study's first author Holger Haenssle of the University of Heidelberg said in a statement.

It also "misdiagnosed fewer benign moles as malignant melanoma... this would result in less unnecessary surgery."

The dermatologists' performance improved when they were given more information of the patients and their skin lesions.