The fight against Cancer has been seeing a lot of developments with the increasing improvements in technology. However, it seems like the people from Yokohama, Japan have perfected a new development in Cancer Research. This Artificial Intelligence could help detect colorectal cancer even before benign tumors become malignant. The way this works is the AI observes a colorectal polyp magnified by 500 times in order to spot its variations. With all of this knowledge the AI has found itself to be capable of detecting Cancer as fast as under a second.
An artificial intelligence program that scans thousands of human body cells was able to predict – with 86 percent accuracy – which would become cancerous. The Yokohama, Japan AI study was able to detect colorectal cancer before benign tumors were able to become malignant. The program took microscopic images of a colorectal polyp, magnified it by 500 times and then cross-referenced the variations with more than 30,000 images. The database of images contained both pre-cancerous and cancerous cells, and was the first cross-referencing image research of its kind, Inverse first reported. The AI-assisted system pulled off an impressive 86 percent prediction accuracy rate that was derived after assessing patients with a colorectal polyp diagnosis.
The quest to better detect cancer has made a potentially huge strides. A study out of Yokohama, Japan, has potentially harnessed artificial intelligence to help detect colorectal cancer even before benign tumors become malignant. Here's how the researchers used artificial intelligence to spot cancer: The AI program observed a colorectal polyp magnified by 500 times in order to spot its variations. It then cross-referenced those variations against a database of over 30,000 images of pre-cancerous and cancerous cells that were used to train the machine-learning program. With that knowledge base, the AI was able to make a prediction in under a second.
New software built in Japan can detect bowel cancer in less than a second, researchers claim. In recently-conducted trials, the artificial intelligence (AI)-powered system was able to spot colorectal adenomas -- which are benign tumours that can evolve into cancer -- from magnified endoscopic images. The images were matched against 30,000 others that were used for machine learning. The system analysed more than 300 colorectal adenomas in 250 patients, taking less than a second to assess each magnified endoscopic image and determine the malignancy of the tumours with 94 percent accuracy, researchers claim. "The most remarkable breakthrough with this system is that AI enables real-time optical biopsy of colorectal polyps during colonoscopy, regardless of the endoscopists' skill," said study leader Dr Yuichi Mori from Showa University in Yokohama, Japan, who presented the results at United European Gastroenterology Week in Barcelona, Spain.