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This paper is in the following e-collection/theme issue:

Imaging Informatics (493) Reviews in Medical Informatics (506) Machine Learning (3303) JMIR Theme Issue: COVID-19 Special Issue (4236) Theme Issue: Medical Informatics and COVID-19 (173)

Published on in Vol 10, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37365, first published .
Robot hand presenting a 3D model of a virus, symbolizing AI in pandemic research.

Combating COVID-19 Using Generative Adversarial Networks and Artificial Intelligence for Medical Images: Scoping Review

Combating COVID-19 Using Generative Adversarial Networks and Artificial Intelligence for Medical Images: Scoping Review

Authors of this article:

Hazrat Ali1 Author Orcid Image ;   Zubair Shah1 Author Orcid Image
Article Authors Cited by (22) Tweetations (8) Metrics

Journals

  1. Vitente A, Lazaro R, Escuadra C, Regino J, Rotor E. Editorial: The Use of Artificial Intelligence (AI)-Assisted Technologies in Scientific Discourse. Philippine Journal of Physical Therapy 2023;2(1):1 View
  2. Ng C. Generative Adversarial Network (Generative Artificial Intelligence) in Pediatric Radiology: A Systematic Review. Children 2023;10(8):1372 View
  3. Yerlikaya S, Broger T, Isaacs C, Bell D, Holtgrewe L, Gupta-Wright A, Nahid P, Cattamanchi A, Denkinger C. Blazing the trail for innovative tuberculosis diagnostics. Infection 2024;52(1):29 View
  4. Khalili H, Wimmer M. Towards Improved XAI-Based Epidemiological Research into the Next Potential Pandemic. Life 2024;14(7):783 View
  5. Hatami M, Yaghmaee F, Ebrahimpour R. Improving Alzheimer’s disease classification using novel rewards in deep reinforcement learning. Biomedical Signal Processing and Control 2025;100:106920 View
  6. Kawata N, Iwao Y, Matsuura Y, Higashide T, Okamoto T, Sekiguchi Y, Nagayoshi M, Takiguchi Y, Suzuki T, Haneishi H. Generation of short-term follow-up chest CT images using a latent diffusion model in COVID-19. Japanese Journal of Radiology 2024 View
  7. Rujas M, Martín Gómez del Moral Herranz R, Fico G, Merino-Barbancho B. Synthetic data generation in healthcare: A scoping review of reviews on domains, motivations, and future applications. International Journal of Medical Informatics 2025;195:105763 View
  8. Navarro Ballester A, Merino Bonilla J, Ros Mendoza L, Álvaro Ballester R, Marco Doménech S. La radiología como pilar de la investigación COVID-19 basada en IA: perspectivas de un análisis bibliométrico diverso. Radiología 2026;68(1):101651 View
  9. Rafiq M, Ali H, Mujtaba G, Shah Z, Azmat S. Cross modality medical image synthesis for improving liver segmentation. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 2025;13(1) View
  10. S. Anand S, Kini S. Deep Learning Approach for ASD Detection with GAN-Driven MRI Data Augmentation. International Journal of Management, Technology, and Social Sciences 2025:78 View
  11. Güvenç E, Ersoy M, Çetin G. Deep Learning-based Automated Segmentation of Brain Tumors using Synthetic MR Images Generated with DCGAN. Computer Standards & Interfaces 2025:104054 View
  12. Uddin M, Arfeen S, Alanazi F, Hussain S, Mazhar T, Arafatur Rahman M. A Critical Analysis of Generative AI: Challenges, Opportunities, and Future Research Directions. Archives of Computational Methods in Engineering 2026;33(2):1763 View
  13. Navarro Ballester A, Merino Bonilla J, Ros Mendoza L, Álvaro Ballester R, Marco Doménech S. Radiology as a pillar in AI-based COVID-19 research: Insights from a diverse bibliometric analysis. Radiología (English Edition) 2026;68(1):101651 View
  14. Ali T, Rehmam Z, Hijji M, Ayaz M, Albelwi S, Ijaz M. Generative AI in different imaging modalities for disease diagnosis: A review. Expert Systems with Applications 2026;309:131162 View
  15. Haj Hammadah N, Patel D. Machine learning models for COVID-19 prediction from chest x-ray and CT scan images: a comprehensive overview. Engineering Research Express 2026;8(12):122202 View

Books/Policy Documents

  1. Dragan C, Saad M, Rehmani M, O’Reilly R. Advances in Deep Generative Models for Medical Artificial Intelligence. View
  2. Knutsen L, David Patón-Romero J, Hannay J, Tanilkan S. Proceedings of World Conference on Information Systems for Business Management. View
  3. Espaillat A. Revolutionizing Ophthalmology. View
  4. Agrawal A, Srinivasulu A, Aditya E, Bharti S. Proceedings of International Conference on Artificial Intelligence and Networks. View

Conference Proceedings

  1. Kumar V, K S, Guputa R. 2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC). Retracted: Enhancing Medical Imaging Diagnosis with Generative Adversarial Network View
  2. Kumar S, Krishnamoorthy R, Guputa R. 2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC). Retracted: Generative Adversarial Networks for Generating Synthetic Medical Images View
  3. Thakur A, Mishra N. 2025 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC). AI-Driven Synthetic Data Generation Using Conditional GANs to Mitigate Class Imbalance in COVID-19 X-Ray Imaging View