Radiologists at a UK hospital use artificial intelligence to make detection easier lungs’ cancer. With software built on this technology, the team can identify abnormalities in the chest X-rays of patients suspected of having the disease.
The initiative is part of a research project LungIMPACT, implemented at Ipswich Hospital. The goal is to speed up the time to diagnosis of lung cancer as much as possible and thus help make treatment more effective. They also hope to minimize false positives.
The study includes a review of some 9000 chest radiographs taken on referrals from general practitioners. This trial phase will last until July this year. The artificial intelligence in question was developed Kure.ay, a medical solutions company dedicated to revolutionizing the detection of lung cancer.
All chest radiographs will be evaluated by a radiologist after undergoing software analysis. “Artificial intelligence can help prioritize which x-rays to check first, leaving normal ones for later and allowing possible ones to be examined.” [casos de] lung cancer is growing faster,” James Hathorne, consultant radiologist and principal investigator of the study, said in a statement.
AI could play a key role in accelerating the diagnosis and treatment of lung cancer
Kure.ai On its website, the company emphasizes that its artificial intelligence can perform analysis in 20 seconds. A study published in 2022 noted that this algorithm was able to identify critical abnormalities in 90% of groups of missed or mislabeled chest radiographs. There were no false positives in this test, which went beyond looking for possible cases of lung cancer. In addition, he correctly identified cases of pleurisy, rib fractures and other ailments.
“We are very pleased to participate in this study to help find clinical evidence of its benefits,” said Hathorne. “We want all AI solutions to be properly researched and tested, so this is important research for the future of healthcare.”
Lung cancer is not the only disease whose study is benefiting from the development of artificial intelligence tools. Other groups of experts have also taken advantage of recent advances in this technology for early cancer detection. He Massachusetts Institute of Technology (MIT), For example, he created his own algorithm that can identify spots that could become breast cancer in the future. The tool could predict its appearance even four years in advance.
NVIDIA announced last March that it would integrate its artificial intelligence systems into medical devices. The company has already signed an agreement with Medtronic for integrate your technology into the GI Genius endoscopy module. Those responsible for the project claim that this will be the first colonoscopy tool with artificial intelligence to prevent cancer.
Source: Hiper Textual
