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Public Health Genomics and Precision Health Knowledge Base (v8.9)
PHGKB
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Public Health Genomics Branch
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Last data update: Dec 08, 2023
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Comparing Active Surveillance and Watchful Waiting With Radical Treatment Using Machine Learning Models Among Patients With Prostate Cancer.
Siqi Hu et al. JCO Clin Cancer Inform 2023 7e2300083
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Development of machine learning prognostic models for overall survival of prostate cancer patients with lymph node-positive.
Zi-He Peng et al. Sci Rep 2023 13(1) 18424
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Performance of deep learning models for response evaluation on whole-body bone scans in prostate cancer.
Sangwon Han et al. Ann Nucl Med 2023
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Machine learning-based prediction model and visual interpretation for prostate cancer.
Gang Chen et al. BMC Urol 2023 23(1) 164
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An Actionable Expert-System Algorithm to Support Nurse-Led Cancer Survivorship Care: Algorithm Development Study.
Kaylen J Pfisterer et al. JMIR Cancer 2023 9e44332
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Evaluation of a Deep Learning-based Algorithm for Post-Radiotherapy Prostate Cancer Local Recurrence Detection Using Biparametric MRI.
Enis C Yilmaz et al. Eur J Radiol 2023 168111095
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Don't Fear the Artificial Intelligence: A Systematic Review of Machine Learning for Prostate Cancer Detection in Pathology.
Aaryn Frewing et al. Arch Pathol Lab Med 2023
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An international multi-institutional validation study of the algorithm for prostate cancer detection and Gleason grading
Y Tolkach et al, NPJ Precision Oncology, August 15, 2023
The predictive value of machine learning and nomograms for lymph node metastasis of prostate cancer: a systematic review and meta-analysis.
Hao Wang et al. Prostate Cancer Prostatic Dis 2023
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Artificial intelligence for the diagnosis of clinically significant prostate cancer based on multimodal data: a multicenter study.
Huiyong Zhang et al. BMC Med 2023 21(1) 270
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Enhancing Triage Efficiency and Accuracy in Emergency Rooms for Patients with Metastatic Prostate Cancer: A Retrospective Analysis of Artificial Intelligence-Assisted Triage Using ChatGPT 4.0.
Georges Gebrael et al. Cancers (Basel) 2023 15(14)
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Clinical Characterization of Patients Diagnosed with Prostate Cancer and Undergoing Conservative Management: A PIONEER Analysis Based on Big Data.
Giorgio Gandaglia et al. Eur Urol 2023
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Anatomically guided self-adapting deep neural network for clinically significant prostate cancer detection on bi-parametric MRI: a multi-center study.
Ahmet Karagoz et al. Insights Imaging 2023 14(1) 110
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Artificial Intelligence-Based PTEN Loss Assessment as an Early Predictor of Prostate Cancer Metastasis After Surgery: a Multi-Center Retrospective Study.
Palak Patel et al. Mod Pathol 2023 100241
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An artificial intelligence-based chatbot for prostate cancer education: Design and patient evaluation study.
Magdalena Görtz et al. Digit Health 2023 920552076231173304
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Application of machine learning algorithm in prediction of lymph node metastasis in patients with intermediate and high-risk prostate cancer.
Xiangrong Wang et al. J Cancer Res Clin Oncol 2023
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FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging.
Radhika Tibrewala et al. ArXiv 2023
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Prescription Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) and Incidence of Depression Among Older Cancer Survivors With Osteoarthritis: A Machine Learning Analysis.
Nazneen Fatima Shaikh et al. Cancer Inform 2023 2211769351231165161
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Machine-learning predicts time-series prognosis factors in metastatic prostate cancer patients treated with androgen deprivation therapy.
Shinpei Saito et al. Sci Rep 13(1) 6325
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Machine learning-based radiomics model to predict benign and malignant PI-RADS v2.1 category 3 lesions: a retrospective multi-center study.
Pengfei Jin et al. BMC medical imaging 2023 23(1) 47
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Deep learning enables MV-based real-time image guided radiation therapy for prostate cancer patients.
Danielle Maria Chrystall et al. Physics in medicine and biology 2023
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Virtual clinical trial based on outcome modeling with iteratively redistributed extrapolation data.
Kohei Oguma et al. Radiological physics and technology 2023
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Convolutional Neural Network Quantification of Gleason Pattern 4 and Association with Biochemical Recurrence in Intermediate Grade Prostate Tumors.
Yalei Chen et al. Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc 2023 100157
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Expanding inclusion criteria for active surveillance in intermediate-risk prostate cancer: a machine learning approach.
Michael Baboudjian et al. World journal of urology 2023
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Artificial intelligence-based model for lymph node metastases detection on whole slide images in bladder cancer: a retrospective, multicentre, diagnostic study.
Shaoxu Wu et al. The Lancet. Oncology 2023
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Label Distribution Learning for Automatic Cancer Grading of Histopathological Images of Prostate Cancer.
Mizuho Nishio et al. Cancers 2023 15(5)
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Development and external validation of multivariate prediction models for erectile dysfunction in men with localized prostate cancer.
Hajar Hasannejadasl et al. PloS one 2023 18(3) e0276815
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Development and External Validation of a Machine Learning Model for Prediction of Lymph Node Metastasis in Patients with Prostate Cancer.
Ali Sabbagh et al. European urology oncology 2023
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Deep-Learning Models for Detection and Localization of Visible Clinically Significant Prostate Cancer on Multi-Parametric MRI.
Zhaonan Sun et al. Journal of magnetic resonance imaging : JMRI 2023
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Exploring the Use of Artificial Intelligence in the Management of Prostate Cancer.
Timothy N Chu et al. Current urology reports 2023
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Page last reviewed:
Oct 1, 2023
Page last updated:
Dec 08, 2023
Content source:
Public Health Genomics Branch in the Division of Blood Disorders and Public Health Genomics
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National Center on Birth Defects and Developmental Disabilities
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