DeepCOVID-XR: An Artificial Intelligence Algorithm to Detect COVID-19 on Chest Radiographs Trained and Tested on a Large U.S. Clinical Data Set

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Artificial Intelligence Clinicians Can Use Chest Computed Tomography Technology to Automatically Diagnose Coronavirus Disease 2019 (COVID-19) Pneumonia and Enhance Low-Quality Images

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Radiology Implementation Considerations for Artificial Intelligence (AI) Applied to COVID-19, From the AJR Special Series on AI Applications

Li, M., Chang, K., Mei, X., Bernheim, A., Chung, M., Steinberger, S., Kalpathy–Cramer, J., & Little, B. P. (2021) · American Journal of Roentgenology · doi:10.2214/ajr.21.26717 · Cited by 10

Deep Learning Applied to Chest Radiograph Classification—A COVID-19 Pneumonia Experience

Furtado, A. N., Andrade, L., Frı́as, D., Maia, T., Badaró, R. J. D. S., & Nascimento, E. G. S. (2022) · Applied Sciences · doi:10.3390/app12083712 · Cited by 11

Generative adversarial network for automatic quantification of Coronavirus disease 2019 pneumonia on chest radiographs

Yoo, S.-J., Kim, H., Witanto, J. N., Inui, S., Yoon, J.-H., Lee, K.-D., Choi, Y. W., Goo, J. M., & Yoon, S. H. (2023) · European Journal of Radiology · doi:10.1016/j.ejrad.2023.110858 · Cited by 9

Neuromorphic chips for biomedical engineering

Wang, K., Ren, S., Jia, Y., Yan, X., Wang, L., & Fan, Y. (2025) · Mechanobiology in Medicine · doi:10.1016/j.mbm.2025.100133 · Cited by 11

Performance of an AI algorithm during the different phases of the COVID pandemics: what can we learn from the AI and vice versa.

Catalano, M., Bortolotto, C., Nicora, G., Achilli, M. F., Consonni, A., Ruongo, L., Callea, G., Tito, A. L., Biasibetti, C., Donatelli, A., et al. (2023) · European Journal of Radiology Open · doi:10.1016/j.ejro.2023.100497 · Cited by 10

Precise Image-level Localization of Intracranial Hemorrhage on Head CT Scans with Deep Learning Models Trained on Study-level Labels

Wu, Y., Iorga, M., Badhe, S., Zhang, J., Cantrell, D. R., Tanhehco, E. J., Szrama, N. P., Naidech, A. M., Drakopoulos, M., Hasan, S. T., et al. (2024) · Radiology Artificial Intelligence · doi:10.1148/ryai.230296 · Cited by 9

Covid-19 Diagnosis using Deep Learning Approaches: A Systematic Review

Abdullah, T. H., & Abdullah, B. H. (2024) · Mesopotamian Journal of Artificial Intelligence in Healthcare · doi:10.58496/mjaih/2024/012 · Cited by 8

CoCross: An ICT Platform Enabling Monitoring Recording and Fusion of Clinical Information Chest Sounds and Imaging of COVID-19 ICU Patients

Kilintzis, V., Beredimas, N., Kaimakamis, E., Stefanopoulos, L., Chatzis, E., Jahaj, E., Bitzani, M., Kotanidou, Α., Katsaggelos, A. K., & Maglaveras, N. (2022) · Healthcare · doi:10.3390/healthcare10020276 · Cited by 9

Deep Efficient Neural Networks for Explainable COVID-19 Detection on CXR Images

Chetoui, M., & Akhloufi, M. A. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-79457-6_29 · Cited by 8

A 178-clinical-center experiment of integrating AI solutions for lung pathology diagnosis

Ibragimov, B., Arzamasov, K. M., Maksudov, B., Kiselev, S., Mongolin, A., Mustafaev, T., Ibragimova, D., Evteeva, K., Андрейченко, А. Е., & Morozov, S. P. (2023) · Scientific Reports · doi:10.1038/s41598-023-27397-7 · Cited by 7

Potential of artificial intelligence to accelerate diagnosis and drug discovery for COVID-19

Mikkili, I., Peele, K. A., Venkateswarulu, T. C., Kodali, V. P., Macamdas, D. S. S., & Sreerama, K. (2021) · PeerJ · doi:10.7717/peerj.12073 · Cited by 8

A Promising and Challenging Approach: Radiologists’ Perspective on Deep Learning and Artificial Intelligence for Fighting COVID-19

Wang, T., Chen, Z., Shang, Q., Ma, C., Chen, X., & Xiao, E. (2021) · Diagnostics · doi:10.3390/diagnostics11101924 · Cited by 8

Indirect supervision applied to COVID-19 and pneumonia classification

Данилов, В., Proutski, A., Karpovsky, A., Kirpich, A., Litmanovich, D. E., Nefaridze, D., Talalov, O., Semyonov, S., Koniukhovskii, V., Shvartc, V., et al. (2021) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2021.100835 · Cited by 7

A comparison of Covid-19 early detection between convolutional neural networks and radiologists

Albiol, A., Albiol, F., Paredes, R., Plasencia-Martínez, J. M., Barrio, A. B., Santos, J. M. G., Tortajada, S., Montaño, V. M. G., Godoy, C. R., Gómez, S. F., et al. (2022) · Insights into Imaging · doi:10.1186/s13244-022-01250-3 · Cited by 9

Enhancing COVID-19 disease severity classification through advanced transfer learning techniques and optimal weight initialization schemes

Geroski, T., Ranković, V., Pavić, O., Dašić, L., Petrovic, M. D., Milovanovic, D. R., & Filipović, N. (2024) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2024.107103 · Cited by 6

Explainable AI and Its Applications in Healthcare

Sarkar, A. (2022) · Intelligent systems reference library · doi:10.1007/978-3-031-12807-3_6 · Cited by 6

A Hybrid Pipeline for Covid-19 Screening Incorporating Lungs Segmentation and Wavelet Based Preprocessing of Chest X-RaysPreprint

Abdulah, H., Huber, B., Abdallah, H., Palese, L. L., Hamid Soltanian-zadeh, A., & Gatti, D. L. (2022) · medRxiv · doi:10.1101/2022.03.13.22272311 · Cited by 6

Applying Deep-Learning Algorithm Interpreting Kidney, Ureter, and Bladder (KUB) X-Rays to Detect Colon Cancer

Lee, L., Lin, C. S., Hsu, C.-J., Lin, H.-H., Lin, T.-C., Liu, Y.-H., & Hu, J. (2024) · Journal of Imaging Informatics in Medicine · doi:10.1007/s10278-024-01309-1 · Cited by 5

Detection of COVID-19 Using Deep Learning Algorithms on Chest Radiographs

Chiu, W. H. K., Vardhanabhuti, V., Poplavskiy, D., Yu, P. L. H., Du, R., Yap, A. Y. H., Zhang, S., Fong, A. H.-T., Chin, T. W.-Y., Lee, J. C. Y., et al. (2020) · Journal of Thoracic Imaging · doi:10.1097/rti.0000000000000559 · Cited by 17

Diagnosis of Coronavirus Disease 2019 Pneumonia by Using Chest Radiography: Value of Artificial Intelligence

Zhang, R., Tie, X., Qi, Z., Bevins, N., Zhang, C., Griner, D., Song, T. K., Nadig, J., Schiebler, M. L., Garrett, J. W., et al. (2020) · Radiology · doi:10.1148/radiol.2020202944 · Cited by 125

Deep Learning Applied to Chest Radiograph Classification—A COVID-19 Pneumonia Experience

Furtado, A. N., Andrade, L., Frı́as, D., Maia, T., Badaró, R. J. D. S., & Nascimento, E. G. S. (2022) · Applied Sciences · doi:10.3390/app12083712 · Cited by 11

Deep learning-based COVID-19 triage tool

Mahajan, A., Pawar, V., Punia, V., Vaswani, A., Gupta, P., Bharadwaj, K. S. S., Salunke, A., Palande, S., Banderkar, K., & Apparao, M. L. V. (2022) · Cancer Research Statistics and Treatment · doi:10.4103/crst.crst_162_21 · Cited by 7

A comparison of Covid-19 early detection between convolutional neural networks and radiologists

Albiol, A., Albiol, F., Paredes, R., Plasencia-Martínez, J. M., Barrio, A. B., Santos, J. M. G., Tortajada, S., Montaño, V. M. G., Godoy, C. R., Gómez, S. F., et al. (2022) · Insights into Imaging · doi:10.1186/s13244-022-01250-3 · Cited by 9