” We demonstrated that a deep learning-based AI approach can work as a objective and standardized tool to assist health care systems along with patients,” Ulas Bagci, PhD, one of the studys researchers, stated in a Sept. 30 news release. “It can be utilized as a complementary test tool in extremely particular limited populations, and it can be used rapidly and at big scale in the regrettable event of a recurrent break out.”.
The research study team trained an expert system algorithm to find COVID-19 in lung scans of 1,280 clients from Japan, China and Italy. They checked it on 1,337 patients with lung illness spanning from COVID-19 to pneumonia and cancer.
More posts on artificial intelligence: 4 members of Congress need research on racism within clinical algorithmsDefense Department, Philips broaden AI research for early detection of transmittable diseasesBulk of clinical AI systems data originates from just 3 states, research study discovers.
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The research study was performed to check out alternatives to reverse transcription-polymerase domino effect tests, which are often used to diagnose COVID-19. These tests often go through hold-ups during processing and have a high risk of producing incorrect negatives.
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An algorithm can determine COVID-19 cases and separate them from influenza cases with the same precision as a doctors diagnosis, according to a study just recently published in Nature Communications.
The algorithm had the ability to precisely diagnose 84 percent of positive COVID-19 cases and 93 percent of negative cases.
Katie Adams –
Wednesday, September 30th, 2020