Development and evaluation of an AI System for early detection of Covid-19 pneumonia using X-ray (Student Consortium)
Mohit Mishra, Varun Parashar, Rushikesh Shimpi
Abstract
This paper aims to integrate AI (Artificial Intelligence) with medical science to develop a classification tool to recognize Covid-19 infection and other lung ailments. Four conditions evaluated were Covid-19 pneumonia, non-Covid-19 pneumonia, pneumonia and normal lungs. The proposed AI system is divided into 2 stages. Stage 1 classifies chest X-Ray volumes into pneumonia and non-pneumonia. Stage 2 gets input from stage 1 if X-ray belongs to pneumonic class and further classifies it into Covid-19 positive and Covid-19 negative.
Topics & Concepts
Coronavirus disease 2019 (COVID-19)PneumoniaStage (stratigraphy)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakLungMedicineComputer scienceArtificial intelligencePathologyInternal medicineBiologyDiseaseInfectious disease (medical specialty)OutbreakPaleontologyCOVID-19 diagnosis using AIAI in cancer detectionArtificial Intelligence in Healthcare