| 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] |
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| 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 Outlook. Cureus 2024; doi: 10.7759/cureus.66225
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| 2 |
Jiawei Liang, Yunxin Zhao. Ultrasound Elastography in Prostate Diseases: Current Status and Future Directions—A Review. Journal of Clinical Ultrasound 2025; 53(9) doi: 10.1002/jcu.24092
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| 3 |
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 MRI. Abdominal Radiology 2024; 50(2) doi: 10.1007/s00261-024-04560-w
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| 4 |
Magdalena Koett, Felix Melchior, Nastasiia Artamonova, Jasmin Bektic, Isabel Heidegger. Redefining prostate cancer care: innovations and future directions in active surveillance. Current Opinion in Urology 2025; 35(4) doi: 10.1097/MOU.0000000000001268
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| 5 |
Catharina M. van Leersum, Clara Maathuis. Human centred explainable AI decision-making in healthcare. Journal of Responsible Technology 2025; 21 doi: 10.1016/j.jrt.2025.100108
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| 6 |
Maryam Shirzad, Afsaneh Salahvarzi, Sobia Razzaq, Mohammad Javad Javid-Naderi, Abbas Rahdar, Sonia Fathi-karkan, Azam Ghadami, Zelal Kharaba, Luiz Fernando Romanholo Ferreira. Revolutionizing prostate cancer therapy: Artificial intelligence – Based nanocarriers for precision diagnosis and treatment. Critical Reviews in Oncology/Hematology 2025; 208 doi: 10.1016/j.critrevonc.2025.104653
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| 7 |
Xinglong Wu, Zhenghao Liu, Yin Fang, Guoping Xu, Zhihua Wang, Zhiquan Hu, Shaogang Wang, Chunguang Yang. Multimodal Nomogram Combining Multiparametric MRI, Functional Subsets of Peripheral Lymphocytes and PI-RADS Can Predict Risk Stratification of Prostate Cancer. Computer Methods and Programs in Biomedicine 2026; 273 doi: 10.1016/j.cmpb.2025.109086
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| 8 |
Xiaoxiao Wang, Shan Zhong, Kun Fang, Yangchun Du, Jianlin Huang. Application and prospect of artificial intelligence in diagnostic imaging of prostate cancer. npj Digital Medicine 2026; 9(1) doi: 10.1038/s41746-026-02354-6
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| 9 |
Negar Firoozeh, Spencer C. Behr, Antonio C. Westphalen. Predicting uninformative prostate magnetic resonance imaging sequences: a hypothesis-generating pilot study. Radiologia Brasileira 2025; 58 doi: 10.1590/0100-3984.2025.0007
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| 10 |
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 Guidelines. Health Science Reports 2024; 7(11) doi: 10.1002/hsr2.70172
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| 11 |
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 cancers. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer 2023; 1878(6) doi: 10.1016/j.bbcan.2023.189026
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| 12 |
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 Ahead. UroCancer Clinics of India 2024; 2(1) doi: 10.4103/UCCI.UCCI_8_24
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| 13 |
Muchandifunga Trust Muchadeyi, Shuang Hao, Karla Hernandez‐Villafuerte, Shah Alam Khan, Nikolaus Becker, Agne Krilaviciute, Petra Seibold, Roman Gulati, Peter Albers, Michael Schlander, Mark Clements. Cost effectiveness analysis of prostate cancer screening strategies in Germany: A microsimulation study. International Journal of Cancer 2025; 157(8) doi: 10.1002/ijc.35513
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| 14 |
Jessica Clore, Peter J.H. Scott.
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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) doi: 10.1080/14737159.2024.2383439
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