Robots Can Help Detect Cancer in Less Than a Second!


A new research has suggested that aritificial intelligence could detect cancer in a person in less than a second.

The researchers conducted trials and found that computer programmes were able to mark out the potentially dangerous tumours from the harmless growth with remarkably high levels of accuracy.

In this study, the researchers tested bowel cancer, which is the fourth most common form of diseases in the United Kingdom, with more than 40,000 diagnoses every year.

The researchers, during the study, found out that the artificial intelligence system succeeded in distringuioshing tumors from endoscopy images with almsot 94 percent accuracy.

In order to reach the findings, the researchers used the AI programme to assess nearly 306 colorectal polyps – growths in the bowel which could or could not have been cancerous. The tests were conducted on 250 men and women.

The researchers noted that it took less than a second for the AI system to analyse each magnified endoscopic image and decide whether or not the polyp was malignant or cancerous.

The study stated that the programme worked by matching each growth against more than 30,000 images which were used for machine learning.

Commenting on the findings of the study, the experts in Britain said that the research looked encouraging.

The study however cautioned that the system has not yet obtained regulatory approval, and the technology in future could spare a lot of patients diagnosed with tumoirs to be spared from unnecessary surgery.

Dr Claire Knight, from Cancer Research UK, said: “AI and virtual reality are opening up many exciting areas of exploration to increase our understanding and treatment of cancer.

“The technology in this presentation could help reduce the overtreatment of bowel growths, called polyps, by helping doctors decide if they need removing or can be left alone. But it will need testing in much larger groups of people first before we understand it’s potential.”

The findings of the study from Showa University in Yokohama, Japan were presented at the United European Gastroenterology (UEG) Week in Barcelona.

Source: Telegraph


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