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Cited by in CrossRef
For: Chervenkov L, Sirakov N, Kostov G, Velikova T, Hadjidekov G. Future of prostate imaging: Artificial intelligence in assessing prostatic magnetic resonance imaging. World J Radiol 2023; 15(5): 136-145 [PMID: 37275303 DOI: 10.4329/wjr.v15.i5.136]
URL: https://www.wjgnet.com/1949-8470/full/v15/i5/136.htm
Number Citing Articles
1
Somya Agrawal, Sunita Vagha. A Comprehensive Review of Artificial Intelligence in Prostate Cancer Care: State-of-the-Art Diagnostic Tools and Future OutlookCureus 2024;  doi: 10.7759/cureus.66225
2
Jun Zhang, Xuemei Yin, Kexin Wang, Liang Wang, Zhenghan Yang, Yaofeng Zhang, Pengsheng Wu, Chenglin Zhao. External validation of AI for detecting clinically significant prostate cancer using biparametric MRIAbdominal Radiology 2024;  doi: 10.1007/s00261-024-04560-w
3
Mohammad Hossein Jamshidi, Ali Fatemi, Aida Karami, Sepehr Ghanavati, Durjoy D. Dhruba, Mohammad H. Negarestanian. Optimizing Multiparametric MRI Protocols for Prostate Cancer Detection: A Comprehensive Assessment Aligned with PI‐RADS GuidelinesHealth Science Reports 2024; 7(11) doi: 10.1002/hsr2.70172
4
Pankaj Garg, Atish Mohanty, Sravani Ramisetty, Prakash Kulkarni, David Horne, Evan Pisick, Ravi Salgia, Sharad S. Singhal. Artificial intelligence and allied subsets in early detection and preclusion of gynecological cancersBiochimica et Biophysica Acta (BBA) - Reviews on Cancer 2023; 1878(6): 189026 doi: 10.1016/j.bbcan.2023.189026
5
Raghav Khanna, Alejandro Granados Martinez, Nicholas Raison, Sebastien Ourselin, Alberto Briganti, Francesco Montorsi, Prokar Dasgupta. Artificial Intelligence Applications in Prostate Cancer Management: Success Stories and Future AheadUroCancer Clinics of India 2024; 2(1): 50 doi: 10.4103/UCCI.UCCI_8_24
6
Jessica Clore, Peter J.H. Scott. [ 68 Ga]PSMA-11 for positron emission tomography (PET) imaging of prostate-specific membrane antigen (PSMA)-positive lesions in men with prostate cancer Expert Review of Molecular Diagnostics 2024; 24(7): 565 doi: 10.1080/14737159.2024.2383439