Application of artificial intelligence in diagnosing COVID-19 disease symptoms on chest X-rays: A systematic review
Jakub Kufel, Katarzyna Bargieł, Maciej Koźlik, Łukasz Czogalik, Piotr Dudek, Aleksander Jaworski, Maciej Cebula, Katarzyna Gruszczyńska
Abstract
This systematic review focuses on using artificial intelligence (AI) to detect COVID-19 infection with the help of X-ray images. Methodology: In January 2022, the authors searched PubMed, Embase and Scopus using specific medical subject headings terms and filters. All articles were independently reviewed by two reviewers. All conflicts resulting from a misunderstanding were resolved by a third independent researcher. After assessing abstracts and article usefulness, eliminating repetitions and applying inclusion and exclusion criteria, six studies were found to be qualified for this study.
Topics & Concepts
Coronavirus disease 2019 (COVID-19)Inclusion and exclusion criteriaScopusMedical physicsMEDLINEMedicineSystematic reviewSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Diagnostic accuracySubject (documents)Computer scienceArtificial intelligenceDiseasePathologyRadiologyAlternative medicineInfectious disease (medical specialty)Library sciencePolitical scienceLawCOVID-19 diagnosis using AIArtificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging