Editor's Note Researchers at Binghamton University, State University of New York, are using data collected from around the world by Johns Hopkins University to build prediction models that take advantage of artificial intelligence (AI) to track COVID-19 and predict where it might surge next. The models examine trends and patterns…
Editor's Note Researchers from Florida Atlantic University’s College of Engineering and Computer Science and Schmidt College of Medicine (all in Boca Raton) announced on June 24 that they have received a 1-year, $90,000 National Science Foundation RAPID project grant to design a COVID-19 knowledge base and risk assessment tool powered…
Editor's Note In this study, researchers at the Massachusetts General Hospital, Boston; King’s College, London; and health science company Zoe Global, Accra, Ghana; developed an artificial intelligence (AI) diagnostic that can predict whether someone is likely to have COVID-19 based on their symptoms. The researchers analyzed data from 2,618,862 people…
Federal regulators have yet to mandate electronic health record (EHR) adoption at ambulatory surgery centers (ASCs). Many facilities remain content to use paper systems. However, one expert advocates preparing now for what may come in the future. Electronic documentation systems can help ASCs better achieve their clinical, financial, operational, and…
Editor's Note A new study from researchers in Hong Kong finds that the MAIL2.0 nowcast artificial intelligence (AI) algorithm, which was developed with concepts used in economics and meteorology, yields a high level of accuracy for identifying COVID-19 in chest x-rays, the May 5 AuntMinny.com reports. The algorithm yielded 84.7%…
Editor's Note An artificial intelligence (AI) tool that analyzes CT scans of the chest was 75% accurate in determining COVID-19 patients who required ventilators, the April Radiology Business reports. Researchers at Cleveland’s Case Western Reserve University built the tool using scans and datasets from the web, COVID-19 chest images from…
Editor's Note: A research team led by the University of Singapore has developed an artificial intelligence (AI) platform called, “IDentif.AI” (Indentifying Infectious Disease Combination Therapy with Artificial Intelligence) to increase efficiency in the development of treatments that combine several different drugs. The researchers selected 12 drugs that are viable candidates…
Editor's Note: Epic’s deterioration index, an artificial intelligence (AI), machine learning-based system that can predict which patients with COVID-19 could become seriously ill, has been put into use at hospitals nationwide, the April 24 STAT reports. Though normally hospitals would take weeks or months to test a new tool on…
Editor's Note Exscientia (Oxford, UK) has announced a joint initiative with Diamond Light Source (Oxforshire, UK) and Calibr (La Jolla, California), a division of Scripps Research, to use its artificial intelligence (AI) drug discovery platform to identify compounds that could become viable drugs for treatment of COVID-19, the April 2…
Editor's Note In this study, researchers from NYU Grossman School of Medicine and the Courant Institute of Mathematical Sciences at New York University, in partnership with Wenzhou Central Hospital and Cangnan People’s Hospital in Wenzhou, China, developed an artificial intelligence (AI) framework that accurately predicted which patients newly infected with…