Artificial Intelligence For Detecting Skin CancerArtificial Intelligence For Detecting Skin Cancer

Artificial Intelligence For Detecting Skin Cancer

Artificial Intelligence For Detecting Skin Cancer: A computer based program was better than human dermatologists at detecting skin cancer in a study that pushed human against machine in the quest for better, faster diagnostics.

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

The team said AI may be a useful tool for faster, easier diagnosis of skin cancer, allowing surgical removal before it spreads.

Artificial Intelligence For Detecting Skin Cancer
Artificial Intelligence For Detecting Skin Cancer

There are about 232,000 new cases of melanoma, and 55,500 deaths, in the world each year, they added.

But it is unlikely that a machine will take over from human doctors entirely, rather functioning as an aid.

Melanoma in some parts of the body, such as the fingers, toes and scalp, are difficult to image, and Artificial Intelligence may have difficulty recognizing “atypical” lesions or ones that patients themselves are unaware of.

“Currently, there is no substitute for a thorough clinical examination,” experts from Monash University in Melbourne and University of Queensland wrote in an editorial published with the study. However, 2D and 3D total body photography is able to capture about 90 to 95 per cent of the skin surface and given exponential development of imaging technology we envisage that sooner than later, automated diagnosis will change the diagnostic paradigm in dermatology.

The dermatologist’s performance improved when they were given more information of the patients and their skin lesions.

Skin cancer was found to be diagnosed more accurately by artificial intelligence than experienced dermatologists in this international study. Researchers tested a form of machine learning known as a deep learning convolutional neural network (CNN) to reach this conclusion.

The study titled “Artificial intelligence for melanoma diagnosis: How can we deliver on the promise?” was published in the cancer journal Annals of Oncology.

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