For: | Choudhury S, Chohan A, Dadhwal R, Vakil AP, Franco R, Taweesedt PT. Applications of artificial intelligence in common pulmonary diseases. Artif Intell Med Imaging 2022; 3(1): 1-7 [DOI: 10.35711/aimi.v3.i1.1] |
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URL: | https://www.wjgnet.com/2644-3260/full/v3/i1/1.htm |
Number | Citing Articles |
1 |
Vaibhav Koshta, Bikesh Kumar Singh, Ajoy K. Behera, Ranganath T. Ganga. Intelligent Computing Techniques in Biomedical Imaging. 2025; : 131 doi: 10.1016/B978-0-443-15999-2.00007-4
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2 |
Debanjan Mitra, Ishita Biswas. Artificial Intelligence in Biomedical and Modern Healthcare Informatics. 2025; : 69 doi: 10.1016/B978-0-443-21870-5.00007-8
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3 |
Irene Steenbruggen, Meredith C. McCormack. Artificial intelligence: do we really need it in pulmonary function interpretation?. European Respiratory Journal 2023; 61(5): 2300625 doi: 10.1183/13993003.00625-2023
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4 |
Anindita Khade, Amarsinh V. Vidhate, Deepali Vidhate. FFN-XGB- design of a hybrid feed forward neural network and extreme gradient boosting model for early prediction of chronic kidney disease. International Journal of System Assurance Engineering and Management 2023; doi: 10.1007/s13198-023-01993-2
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5 |
Pragya Yadav, Vaibhav Rastogi, Abhishek Yadav, Poonam Parashar. Artificial Intelligence: A promising tool in diagnosis of respiratory diseases. Intelligent Pharmacy 2024; 2(6): 784 doi: 10.1016/j.ipha.2024.05.002
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