Monday June 17, 2019
Home Lead Story AI More Effic...

AI More Efficient in Detecting Skin Cancer Than Doctors, Finds Study

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

0
//
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.
There are about 232,000 new cases of melanoma, and 55,500 deaths, in the world each year, the research added.

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.

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

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.

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

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

Healthy Sleep and Depression: Healthy Sleep Key to Ward off Depression Later

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 AI 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 Victoria Mar from Monash University in Melbourne and Peter Soyer of the University of Queensland wrote in an editorial published with the study. (VOA)

 

Next Story

GRAIL Announces Significant Progress on Blood Tests to Detect Cancer

Grail's new results are from 2,300 people

0
GRAIL, Blood Tests, Detect, Cancer
FILE A patient has her blood drawn at a hospital in Philadelphia to monitor her cancer treatment. VOA

A California company says its experimental blood test was able to detect many types of cancer at an early stage and gave very few false alarms in a study that included people with and without the disease.

Many companies are trying to develop early detection “liquid biopsy” tests that capture bits of DNA that cancer cells shed into blood.

GRAIL, Blood Tests, Detect, Cancer
A California company says its experimental blood test was able to detect many types of cancer at an early stage. VOA

Grail’s new results are from 2,300 people. The test detected 55% of known cancers and gave false alarms for 1%. It also accurately suggested where the cancer may be about 90% of the time.

Also Read- US Removes Eritrea From Counterterror Non-Cooperaltion List

The company gave results in news release Friday and will report them Saturday at a conference in Chicago. They have not been published or reviewed by other scientists. (VOA)