Interactive explainable deep learning model informs prostate cancer diagnosis at MRI

Cited by (133)

Items 101–133 of 133

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5. Combined radiomics, PI-RADS, and clinical model improve significant prostate cancer prediction and guide biopsy decision
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6. Confident Teacher, Confident Student? A Novel User Study Design for Investigating the Didactic Potential of Explanations and Their Impact on Uncertainty
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7. Imaging-based clinical decision tree enables risk stratification of extraprostatic extension before radical prostatectomy in prostate cancer patients
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8. Impact of a commercial artificial intelligence decision-support system on biparametric MRI interpretation for detecting clinically significant prostate cancer: a retrospective single-center prostatectomy-validated multi-reader study across experience levels
   Atsushi Higaki, Tsutomu Tamada, Mitsuru Takeuchi, Yu Ueda, Yuichi Kojima, Takuma Maruhisa, Hiroyuki Watanabe, Kazunori Moriya, Hideki Kagioka, Akira Yamamoto · 2026 · European Journal of Radiology
9. Navigating Uncertainty in MRI Diagnosis: A Human‐ AI Collaborative Strategy for Stratifying Clinically Significant Prostate Cancer
   Xu Fu, Jie Bao, Xiaomeng Qiao, Junkang Shen, Yueyue Zhang, Pengfei Jin, Yanting Ji, J Zhang, Yueting Su, Libiao Ji et al. · 2026 · Journal of Magnetic Resonance Imaging
10. Explainable multimodal deep learning with dual attention for prostate cancer classification from MRI
    Nasser M. Al-Zidi, D Vasumathi · 2026 · Discover Artificial Intelligence
11. Nanophotonic biosensing for prostate cancer diagnosis and monitoring: Strategies and intelligent systems
    Zhongjie Zhao, Kangjia Chen, Fajun Li, Xuegang Wang, Jinfeng Zhu · 2026 · Journal of Pharmaceutical Analysis
12. Diagnostic performance of bpMRI versus mpMRI and AI-assisted bpMRI in prostate cancer detection: a multi-reader study
    Luca Russo, Silvia Bottazzi, Luca D’Erme, Giacomo Avesani, Valerio Di Paola, Salvatore Persiani, Alessandra Iacono, Ina Isufi, Lucy Davies, Zobair Arya et al. · 2026 · La radiologia medica
13. AI-driven precision diagnosis and treatment of prostate cancer: a narrative review
    Tonghui Chu, Youzhao Zhang, Jianuo Du, Mierxiati Abudurexiti · 2026 · Frontiers in Oncology
14. Intermodal Guidance Learning: A Multimodal Self-Distillation Network for Prostate Cancer Staging Prediction
    Xiaoyan Zhang, Sihan Liu, Xiangfu Meng, Z C Zhao, Linlin Ding · 2026 · Communications in computer and information science
15. Preoperative prediction of positive surgical margins in prostate cancer using multimodal deep learning model: a multicenter study
    Xu Fu, Jie Bao, Xiaomeng Qiao, Shen Jb, Yueyue Zhang, Pengfei Jin, Yanting Ji, J Zhang, Yueting Su, Libiao Ji et al. · 2026 · Abdominal Radiology
16. Explainable and Trustworthy AI in Oncology: A Systematic Review Across Major Organ Systems
    Muhammad Hassan, Muhammad Zubair, Rozeena Ibrahim, Tahir Mahmood, Muzammil Hussain, Muhammad Umair · 2026 · IEEE Access
17. Real‐world assessment of a deep learning neural network algorithm for prostate cancer detection in MRI using true de novo data
    Steven M. Shea, Michael Wesolowski, Abdulrahman Hashem, Ari Goldberg, Cara Joyce, Gopal Nand Gupta, Robert Grimm, Heinrich von Busch, Bin Lou, Ali Kamen · 2026 · Medical Physics
18. A comprehensive framework for multi-class prostate cancer classification using biparametric MRI: a multi-center retrospective study
    Bowen Zheng, Yuling Yang, Maierhaba Maheremu, Liuru Bao, Ling Zhang, Genggeng Qin, Zhongjian Liao, Shidong Lv, Jie Tao, Yang Xiang et al. · 2026 · Insights into Imaging
19. Explainable artificial intelligence in prostate and bladder cancer: A review of imaging, digital pathology, molecular profiling, and clinical data
    Dimitrios E Diamantidis, Georgios Tsakaldimis, Nikolaos V Smyrlis, Chousein Chousein, Charalampos Kafalis, Konstantina Foutzitzi, Evangelia Deligeorgiou, Nikolaos Panagiotopoulos, Stavros Lailisidis, Chrysostomos Georgellis et al. · 2026 · Current Urology
20. Multiparametric MRI-based radiomics model integrating tumor lesion and periprostatic adipose tissue for predicting bone metastasis in prostate cancer
    Qian Zheng, Ruihong Chen, Yuying Xie, Sha Cui, Wenjin Bian, Jianting Li, Limei Guo, Yujing Zhang, Wenjia Zhang, Butian Zhang et al. · 2026 · Frontiers in Oncology
21. Explainable AI for Multi-modal Medical Image Analysis and Radio-Genomics: A Comprehensive Review
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22. Current status and future directions of AI in prostate cancer detection on MRI: a special report from the ESUR prostate MRI working group authors
    Renato Cuocolo, Andrea Ponsiglione, Georgios Agrotis, Tristan Barrett, Giorgio Brembilla, Iztok Caglič, Hanna Falińska, Charlie Alexander Hamm, Emanuele Messina, Tobias Penzkofer et al. · 2026 · European Radiology
23. A Multimodal MRI-Based Deep Learning Method for Automated PI-RADS Assessment in Prostate Cancer
    Przemysław Sipa, Kacper Szmergała, Wojciech Majchrowski, Bogumiła Hnatkowska, Adrianna Kozierkiewicz · 2026 · Lecture notes in computer science
24. Function-preserving strategies for localized prostate cancer: minimally invasive radical surgery, focal therapy and AI-assisted surgery
    Shang-Rui Tang, Chen-Hua Zhang, Zheng Zhi-cheng, Thibault Tricard, Mingyu Chen, Jiahua Pan · 2026 · Artificial Intelligence Surgery
25. AdaX-csPCa: An Adaptive Cross-modal Network for Clinically Significant Prostate Cancer Identification
    Jia Li, Wei Yao, Dingjian Cai, Meiqi Chen, Jiayin Chen, Peixuan He, Yinqiao Liang -, Chuanbo Qin, Baidong Li, Tao Liu · 2026 · International Conference on Electronic Information, Computer and Aerospace Remote Sensing (EICARS)
26. Application of artificial intelligence in patients with MRI-invisible prostate cancer
    I. A. Aboyan, S. M. Pakus, Andrey S. Polyakov, Vladimir Redkin, K. I. Badyan, K. A. Shiranov, D. I. Pakus · 2026 · Cancer Urology
27. Multimodal Artificial Intelligence Model Integrating Multiparametric MRI Features and PSA for Differentiating Benign and Malignant Prostate Nodules
    Chuangui Li, Huanying Yin, Yaying Su, Xiao Chang, Huiling Zuo, Wenjiang Wang · 2026 · Research Square
28. Exploring cheminformatics tools to combat prostate cancer: diagnostics, therapeutics, and mechanistic studies
    Samuel Igwe, C. O. Ehi‐Eromosele, Inemesit Asukwo Udofia, Oluwakemi A. Oloba‐Whenu · 2026 · In Silico Pharmacology
29. Recent advances in discriminating prostate cancer from benign prostatic diseases in the pre-biopsy population
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30. Explainable Artificial Intelligence (XAI) for 3D Medical Imaging: A Scoping Review of Volumetric Attribution Methods
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32. Prostate cancer screening with MRI: insights from the ESUR Prostate MRI Working Group
    Giorgio Brembilla, Emanuele Messina, Tristan Barret, Iztok Caglič, Renato Cuocolo, Maarten de Rooij, Roberto García Figueiras, Rossano Girometti, Adalgisa Guerra, Charlie Alexander Hamm et al. · 2026 · European Radiology
33. Three decades of artificial intelligence in prostate cancer show technical progress while evidence of clinical benefit is still emerging
    Wenchang Yue, Babu J. Padanilam · 2026 · Discover Artificial Intelligence