ArticleTheranostics2020
Radiologist-like artificial intelligence for grade group prediction of radical prostatectomy for reducing upgrading and downgrading from biopsy.
Abstract readMulticenter Study
In one paragraph
Article in Theranostics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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21citing papers in PubMed
–field-weighted citation impact
What it found
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Who cites it
21 citing papers in PubMed.
- Article
- Artificial Intelligence Versus Conventional Methods for NCCN Risk Stratification in Localized Prostate Cancer (2020-2025): A Systematic Review.Prostate cancer · 2026Review
- Automated machine learning for prostate cancer detection and Gleason score prediction using T2WI: a diagnostic multi-center study.BMC cancer · 2025Article
- Risk analysis of adverse pathological changes in cT2cN0M0 prostate cancer after robot-assisted radical prostatectomy: Results from a population-based study.Asian journal of urology · 2025Article
- Can PSMA PET detect intratumour heterogeneity in histological PSMA expression of primary prostate cancer? Analysis of [European journal of nuclear medicine and molecular imaging · 2025Article
- Intelligent Care: A Scientometric Analysis of Artificial Intelligence in Precision Medicine.Medical sciences (Basel, Switzerland) · 2025Review
- Evaluating the feasibility of AI-predicted bpMRI image features for predicting prostate cancer aggressiveness: a multi-center study.Insights into imaging · 2025Article
- Development and Validation of an MRI-Based Radiomics Nomogram to Predict the Prognosis of De Novo Oligometastatic Prostate Cancer Patients.Cancer medicine · 2024Article
- Article
- Preliminary Evidence of the Use of Generative AI in Health Care Clinical Services: Systematic Narrative Review.JMIR medical informatics · 2024Review
- A novel tumor purity and immune infiltration-related model for predicting distant metastasis-free survival in prostate cancer.European journal of medical research · 2023Article
- MRI-derived radiomics models for diagnosis, aggressiveness, and prognosis evaluation in prostate cancer.Journal of Zhejiang University. Science. B · 2023Review
- What benefit can be obtained from magnetic resonance imaging diagnosis with artificial intelligence in prostate cancer compared with clinical assessments?Military Medical Research · 2023Review
- Three-dimensional convolutional neural network model to identify clinically significant prostate cancer in transrectal ultrasound videos: a prospective, multi-institutional, diagnostic study.EClinicalMedicine · 2023Article
- Predicting clinically significant prostate cancer with a deep learning approach: a multicentre retrospective study.European journal of nuclear medicine and molecular imaging · 2023Article
- Normalization Strategies in Multi-Center Radiomics Abdominal MRI: Systematic Review and Meta-Analyses.IEEE open journal of engineering in medicine and biology · 2023Article
- Overview of radiomics in prostate imaging and future directions.The British journal of radiology · 2022Review
- Quality in MR reporting of the prostate – improving acquisition, the role of AI and future perspectivesThe British journal of radiology · 2022Review
- Clinical significance and potential molecular mechanism of miRNA-222-3p in metastatic prostate cancer.Bioengineered · 2021Article
- Gene signatures predict biochemical recurrence-free survival in primary prostate cancer patients after radical therapy.Cancer medicine · 2021Article
Corrections and comments
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Authors and funding
19 authors.
Lizhi ShaoSchool of Computer Science and Engineering, Southeast University, Nanjing, China.
Ye YanDepartment of Urology, Peking University Third Hospital, Beijing, China.
Zhenyu LiuCAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Xiongjun YeUrology and lithotripsy center, Peking University People's Hospital, Beijing, China.
Haizhui XiaDepartment of Urology, Peking University Third Hospital, Beijing, China.
Xuehua ZhuDepartment of Urology, Peking University Third Hospital, Beijing, China.
Yuting ZhangDepartment of Urology, Peking University Third Hospital, Beijing, China.
Zhiying ZhangDepartment of Urology, Peking University Third Hospital, Beijing, China.
Huiying ChenDepartment of Radiology, Peking University Third Hospital, Beijing, China.
Wei HeDepartment of Radiology, Peking University Third Hospital, Beijing, China.
Cheng LiuDepartment of Urology, Peking University Third Hospital, Beijing, China.
Min LuDepartment of Pathology, Peking University Third Hospital, Beijing, China.
Yi HuangDepartment of Urology, Peking University Third Hospital, Beijing, China.
Lulin MaDepartment of Urology, Peking University Third Hospital, Beijing, China.
Kai SunCAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Xuezhi ZhouCAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Guanyu YangSchool of Computer Science and Engineering, Southeast University, Nanjing, China.
Jian LuDepartment of Urology, Peking University Third Hospital, Beijing, China.
Jie TianCAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
AgedArtificial IntelligenceBiopsy, NeedleHumansMagnetic Resonance ImagingMaleNeoplasm GradingProstateProstatectomyProstate-Specific AntigenProstatic NeoplasmsRadiologistsRetrospective StudiesProstate-Specific Antigendeep reinforcement learningGleason grade groupsmagnetic resonance imagingprostate cancerprostate cancer grading
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LicenceCC BY
Read underepoch 390
Registered trials
None linked
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.