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Cited by in CrossRef
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]
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 Imaging2025; : 131 doi: 10.1016/B978-0-443-15999-2.00007-4
2
Debanjan Mitra, Ishita Biswas. Artificial Intelligence in Biomedical and Modern Healthcare Informatics2025; : 69 doi: 10.1016/B978-0-443-21870-5.00007-8
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
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 diseaseInternational Journal of System Assurance Engineering and Management 2023;  doi: 10.1007/s13198-023-01993-2
5
Pragya Yadav, Vaibhav Rastogi, Abhishek Yadav, Poonam Parashar. Artificial Intelligence: A promising tool in diagnosis of respiratory diseasesIntelligent Pharmacy 2024; 2(6): 784 doi: 10.1016/j.ipha.2024.05.002