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Precision Health Database


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Cancer

Last data update: Dec 08, 2023. (Total: 62301 Documents since 2012)
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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
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
Performance of deep learning models for response evaluation on whole-body bone scans in prostate cancer.
Sangwon Han et al. Ann Nucl Med 2023
Machine learning-based prediction model and visual interpretation for prostate cancer.
Gang Chen et al. BMC Urol 2023 23(1) 164
An Actionable Expert-System Algorithm to Support Nurse-Led Cancer Survivorship Care: Algorithm Development Study.
Kaylen J Pfisterer et al. JMIR Cancer 2023 9e44332
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
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
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
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
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)
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
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
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
An artificial intelligence-based chatbot for prostate cancer education: Design and patient evaluation study.
Magdalena Görtz et al. Digit Health 2023 920552076231173304
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
FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging.
Radhika Tibrewala et al. ArXiv 2023
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
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
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
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
Virtual clinical trial based on outcome modeling with iteratively redistributed extrapolation data.
Kohei Oguma et al. Radiological physics and technology 2023
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
Expanding inclusion criteria for active surveillance in intermediate-risk prostate cancer: a machine learning approach.
Michael Baboudjian et al. World journal of urology 2023
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
Label Distribution Learning for Automatic Cancer Grading of Histopathological Images of Prostate Cancer.
Mizuho Nishio et al. Cancers 2023 15(5)
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
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
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
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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