Detecting skin cancer with the latest predictive technology

New technology - Watson comes from IBM, opening a new horizon in the diagnosis of skin cancer. Along with the ability to learn knowledge from the surrounding, to make Watson perfect, the project calls for cooperation from the community.

Skin cancer is the most commonly diagnosed cancer in the United States. More than five million cases are diagnosed each year, the cost of the US healthcare system is over 8 billion dollars. More than 100,000 cases related to melanoma cause more than 9,000 deaths per year, and the number continues to increase. Worldwide, melanoma is also a threat to public health. In Australia, more than 13,000 melanoma cases occur each year, resulting in more than 1,600 deaths. In Europe, it causes more than 20,000 deaths a year.

Therefore, in the era of dizzying artificial intelligence, manufacturers are always trying to bring this application into the medical field to help people.

At IBM, inventors have created a new generation of technology, called Watson , that can easily understand natural languages, explain questions and learn from its own mistakes.

Watson is an extremely interesting invention because it is based on the ability to receive knowledge.

From related experiments, they are expecting much of Watson's ability to assist doctors to save lives by better understanding the signs and symptoms of melanoma from the early stages. And of course, this is a project that needs all of us to make Watson smarter.

What is Watson?

Watson is an extremely interesting invention because it is based on the ability to receive knowledge. It was first developed in IBM's DeepQA project by a man named David Ferrucci and took its name from IBM's first CEO, Thomas J. Watson. It was dubbed the "smartest machine on earth" with the ability to use evidence, analysis and good reason to make a final conclusion.

The mechanism of action is as follows: Researchers rely on Watson's ability to analyze machine images and technology to build platform algorithms. The encoded images in the algorithm were tagged corresponding to each type of clinical information such as benign cancer, malignant tumor with basal cell carcinoma or even different stages of the disease. cancer. Over time, Watson "learned" the elements that make up normal skin damage like a mole and method to identify structural indicators - such as shape or color - to be predictable. lesions that show cancer.

So far, the predicted disease success rate is 91%, an impressive number for artificial intelligence.

Testing on the beach

Because early detection is very important in defeating malignant tumors, IBM is trying to implement "massive" projects to provide support for everyone's safety.

This month, IBM - in partnership with the Institute of Melanoma (Australia) and Molemap - calls for more than 800 people on Bondi Beach to participate in a free skin test. This campaign has collected anonymous data through feedback from IBM Watson's smart mirror and the Molemap doctor's skin test results to provide information that is conducive to boosting the discovery process. early melanoma.

IBM is trying to implement "massive" projects to bring support to everyone's safety.

Among free seafarers, 70 have skin lesions detected from photographs and are recommended to go to dermatologists for consideration.

Together with Watson "goodbye" skin cancer

So, how can we bring knowledge that supports Watson's "learning" process in detecting skin cancer? Simply, talk to Watson, learn about it and the founding team. You won't need to learn a new language, a complex skill - all you need is a keyboard.

Spend some time on social networks and share stories about skin cancer with hashtag # outthinkmelanoma to bring updates to the latest news.

It's time to quickly step out of the fear of melanoma with the help of friend Watson and say goodbye to the scary skin cancer.