AI Becoming Prevalent in Identifying Stroke, Head Trauma

Another company is throwing its hat into the ring to use artificial intelligence to help identify bleeds, fractures and other critical abnormalities in head CT scans. San Mateo, CA-based Qure.ai released the results of a clinical validation study confirming its algorithm’s near-radiologist performance on 21, 000 patients and has made a dataset of almost 500 AI-analyzed head CT scans available for download. The results have been published in a research paper on Cornell University's online distribution system for research, arXiv.org. The paper is titled “Development and Validation of Deep Learning Algorithms for Detection of Critical Findings in Head CT Scans.” “A patient might have to wait two hours to have their scans made and the appropriate therapy given to them,” Prashant Warier co-founder and CEO of Qure.ai,told MD+DI. “But with this element in place, that can be sped up to maybe a few minutes.” 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 abnormaliti...
Source: MDDI - Category: Medical Devices Authors: Tags: Business Digital Health Source Type: news