A Systematic Review on the Use of Artificial Intelligence Techniques in the Diagnosis of COVID-19 from Chest X-Ray Images

Mohammad Hosein Sadeghi ¹ , Hamid Omidi ¹ , Sedigheh Sina ^1,2 *

Cited by CrossRef: 1

1- Alshdaifat E, Gharaibeh H, Sindiani A, Madain R, Al-Mnayyis A, Abu Mhanna H, Almahmoud R, Akhdar H, Amin M, Nasayreh A, Hamad R. Hybrid vision transformer and Xception model for reliable CT-based ovarian neoplasms diagnosis. Intelligence-Based Medicine. 2025;11:100227 [Crossref]

2- Sadeghi M, Sina S, Omidi H, Farshchitabrizi A, Alavi M. Deep learning in ovarian cancer diagnosis: a comprehensive review of various imaging modalities. Pol J Radiol. 2024;89:30 [Crossref]

3- Farshchitabrizi A, Sadeghi M, Sina S, Alavi M, Nasiri Feshani Z, Omidi H. AI-enhanced PET/CT image synthesis using CycleGAN for improved ovarian cancer imaging. Pol J Radiol. 2025;90:26 [Crossref]