COVID.AI: Intelligent COVID Radiological Assessment and Diagnostic System and Methods :IC-RADS

Case ID:
C16407

Inventor(s): Vishwa Sanjay Parekh, Michael A. Jacobs

 

Unmet Need:

The COVID-19 pandemic, caused by SARS-CoV-2, has resulted in more than 365,000 deaths in the United States and over 1.9 million deaths worldwide. Diagnosis of COVID-19 has been largely limited to molecular and serologic tests, which are not indicative of the severity nor the progression of the disease. There is a huge unmet need for additional diagnostics and increased understanding of the disease to help inform treatment options for symptomatic COVID-19 patients.


Technology Overview

Inventors at Johns Hopkins University have developed a novel machine learning system to detect and classify the extent of COVID-19 in patients. This system integrates conventional molecular and serologic diagnostics with radiological assessment of COVID-19 lung tissue signatures to characterize the extent of COVID-19 of different lung tissue types with high specificity and sensitivity.


Stage of Development

The invention has undergone testing and is seeing further refinement.

Patent Information:
Title App Type Country Serial No. Patent No. File Date Issued Date Expire Date Patent Status
SYSTEMS AND METHODS FOR DETECTING AND CHARACTERIZING COVID-19 PCT: Patent Cooperation Treaty United States 18/554,656   10/10/2023     Pending
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For Information, Contact:
Mohit Ganguly
mgangul1@jh.edu
410-614-0300
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