Litcius/Paper detail

Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists

Tao Tan, Bipul Kumar Das, Ravi Soni, Mate Fejes, Hongxu Yang, Sohan Ranjan, Dániel Szabó, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash

2022Neurocomputing21 citationsDOIOpen Access PDF

Topics & Concepts

TriageModality (human–computer interaction)Coronavirus disease 2019 (COVID-19)Receiver operating characteristicArtificial intelligenceRadiologyGround truthComputer scienceModalitiesSørensen–Dice coefficientMedicineModalTeleradiologyMedical physicsMachine learningSegmentationImage segmentationTelemedicinePathologyMedical emergencyDiseaseHealth careEconomic growthSociologyEconomicsInfectious disease (medical specialty)ChemistrySocial sciencePolymer chemistryCOVID-19 diagnosis using AIRadiomics and Machine Learning in Medical ImagingRadiology practices and education