id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-345528-rk16pt0i	Yasar, Y.	MantisCOVID: Rapid X-Ray Chest Radiograph and Mortality Rate Evaluation With Artificial Intelligence For COVID-19	2020-05-08		.txt	text/plain	3173	198	58	This tool delivers a rapid screening test by analyzing the X-ray Chest Radiograph scans via Artificial Intelligence (AI) and it also evaluates the mortality rate of patients with the synthesis of the patient history with the machine learning methods. A rapid analysis for the Chest X-ray (CXR) scans, CT, Infection Rate or Mortality Rate with the machine learning methods are some of the helpful tools and researchers are trying to build such tools for pre-screening COVID-19. This study defines a deployed environment 1 for rapid evaluation of the mortality rate and CXR scans via machine learning tools. The evaluation platform has two outputs after screening the group of patients as the prediction about the risk in COVID-19 via CXR and the mortality rate. . https://doi.org/10.1101/2020.05.04.20090779 doi: medRxiv preprint mantisCOVID cannot catch COVID-19 patient via AI elimination from CXR, the physician can change approaching style to the patient via evaluating the mortality rate.	./cache/cord-345528-rk16pt0i.txt	./txt/cord-345528-rk16pt0i.txt