publisher
category
price
Freestore
Reviews
5 (7)
United States
Description
COVID-AI is an artificial intelligence agent designed to ease screening for medical providers. Your use of the app contributes to a clinical trial research project and provides you with insight on potential symptoms you may experience with the COVID-19 virus. It is now available inside the COVID-AI iOS mobile application to help clinicians address the overwhelming demand of the virus pandemic. Through a proprietary blend of machine learning algorithms, sensors, and optics, COVID-AI scans radiology diagnostic reports (CT scans, MRI scans, X-ray scans, etc) for symptoms indicating a potential presence of the virus. It also monitors several biometric factors to determine if a patient is susceptible to or currently exhibiting symptoms of the virus including respiratory condition. COVID-AI is not intended to diagnose, treat, or cure the coronavirus or any other disease. It is simply designed to be used as a screening aid for radiologists and clinicians to help ease the overwhelming demand on medical staffing for the current coronavirus pandemic. AI Biokinetic Technologies maintains that COVID-AI app data satisfies HIPAA and DICOM compliance standards.
Category Ranking
Review Breakdown
Screenshots
Reviews
Efficient
COVID AI allowed us to greatly relieve stress from our staff and workforce in our clinics by giving us the capability to screen patients much faster.
TheNewComplainerTue, May 12, 2020
United States
Awesome screening tool for COVI-19
This is a great idea to help with COVID screening or any lung disease
MomofjocksMon, Apr 27, 2020
United States
Download & Revenue
About
Bundle Id
com.aibiokinetictech.COVIDAIMin Os. Version
13.0Release Date
Sun, Apr 26, 2020Update Date
Tue, Jan 12, 2021Content Rating
Has IMessage
NoSupport Watch
NoSupport Siri
NoFile Size
403.96MBHas Game Center
NoFamily Sharing
NoSupport Passbook
NoSupported Languages
EnglishWhat's New
version
1.3updated
3 years ago-Additional respiratory diagnostics added -Updated machine learning model for increased accuracy -Updated accuracy of image preprocessing -Minor user interface fixes
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