For: | Seetharam K, Bhat P, Orris M, Prabhu H, Shah J, Asti D, Chawla P, Mir T. Artificial intelligence and machine learning in cardiovascular computed tomography. World J Cardiol 2021; 13(10): 546-555 [PMID: 34754399 DOI: 10.4330/wjc.v13.i10.546] |
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URL: | https://www.wjgnet.com/1949-8462/full/v13/i10/546.htm |
Number | Citing Articles |
1 |
Karthik Seetharam, Sudarshan Balla, Christopher Bianco, Jim Cheung, Roman Pachulski, Deepak Asti, Nikil Nalluri, Astha Tejpal, Parvez Mir, Jilan Shah, Premila Bhat, Tanveer Mir, Yasmin Hamirani. Applications of Machine Learning in Cardiology. Cardiology and Therapy 2022; 11(3): 355 doi: 10.1007/s40119-022-00273-7
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2 |
Christos B. Zachariadis, Helen C. Leligou. Harnessing Artificial Intelligence for Automated Diagnosis. Information 2024; 15(6): 311 doi: 10.3390/info15060311
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3 |
Jeffrey Xia, Kinan Bachour, Abdul-Rahman M. Suleiman, Jacob S. Roberts, Sammy Sayed, Geoffrey W. Cho. Enhancing coronary artery plaque analysis via artificial intelligence-driven cardiovascular computed tomography. Therapeutic Advances in Cardiovascular Disease 2024; 18 doi: 10.1177/17539447241303399
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4 |
Fares Alahdab, Radwa El Shawi, Ahmed Ibrahim Ahmed, Yushui Han, Mouaz Al-Mallah, Pan Li. Patient-level explainable machine learning to predict major adverse cardiovascular events from SPECT MPI and CCTA imaging. PLOS ONE 2023; 18(11): e0291451 doi: 10.1371/journal.pone.0291451
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