Artificial intelligence will contribute to defeating cancer

Compared to humans, artificial intelligence evaluates faster and more accurate tomography, helping to diagnose and prevent tumor growth.

"If I ask why I choose artificial intelligence (AI), then the cancer itself is an artificial intelligence cell . It's complicated and difficult to handle," said Somine Song at the Technology Forum. Global in Guangzhou (China) recently. As a senior partner of a venture capital firm, Ms. Song focuses primarily on biotech companies specializing in cancer treatment, especially businesses focused on artificial intelligence.

According to Fortune, the characteristics of cancer cells mentioned by Ms. Song, biologist Robert Weinberg. In 2011, he published the document on the intelligence of cancer and gave it the name "next generation cell".

"We call cancer cells an artificial intelligence cell because its ability to grow, move and change is faster, even this cell is very good at hiding , " Mr. Weiberg explained. "Therefore, conventional treatment is not enough to fight cancer."

The more artificial intelligence is applied to image analysis, the higher the accuracy will be.(Photo: Sanvada).

In China, cancer is booming mainly due to a combination of serious air pollution and population aging. From 1973 to 2012, the country's number of lung cancer cases increased by 306%.

This situation strongly affects radiography units in China. Mr. Wang Rui, Vice President of Huiying Medical Technology Company, said that every year the number of specialized radiographers in China increased by 3% but the volume of photos needed to be analyzed increased by 50%.

Applying artificial intelligence to image analysis in imaging diagnostics is just one of the ways that technology can revolutionize health."Usually, a radiologist takes 10 to 30 minutes to evaluate a computerized tomography when screening cancer-causing tumors. Meanwhile, artificial intelligence takes only a few seconds," he said. Rui said.

The more applied to image analysis, the higher the accuracy because AI has a big advantage in terms of data. In some cases, artificial intelligence also detects abnormalities from computerized tomography better than humans.

"Now we can use artificial intelligence to test cancer patients," said Ms Song. "In the future, we hope to be able to screen enough to discover biomarkers that help predict cancer before it can develop."