by Angela Guess

According to a new press release, “Qure.ai (http://www.qure.ai), a healthcare AI startup, today launched a new AI-powered technology to accurately identify bleeds, fractures and other critical abnormalities in head CT scans. Qure.ai has also released the results of an unprecedented clinical validation study confirming its algorithms’ near-radiologist performance on 21,000 patients and has made a dataset of almost 500 AI-analyzed head CT scans available for download. A CT scan of the head is usually the first diagnostic test patients undergo if they have a head injury or symptoms suggesting stroke. The problem, however, is that radiologists might not be immediately available to read a scan or might have many scans pending. Prompt reading of the CT scan is critical for stroke patients, as every minute that goes by, brain cells die.”

The release goes on, “Qure.ai trained the new AI using a collection of 313,318 anonymized head CT scans, along with their corresponding clinical reports. Of these, 21,095 scans were then used to validate the AI’s algorithms. Finally, the AI was clinically validated on 491 CT scans, with the results compared against a panel of three senior radiologists. The panel of radiologists included Norbert G. Campeau, M.D., a senior neuro-radiologist from the Mayo Clinic’s Department of Radiology. The validation study found that Qure.ai’s AI was more than 95% accurate in identifying abnormalities.”

Read more at PR Newswire.

Photo credit: Qure.ai