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Precision Health Database


Genomics & Health Impact Scan Database|Search|PHGKB

Last data update: Sep 29, 2022. (Total: 49732 Documents since 2012)
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On an Affordable Approach towards the Diagnosis and Care for Prostate Cancer Patients Using Urine, FTIR and Prediction Machines.
Nsugbe Ejay et al. Diagnostics (Basel, Switzerland) 2022 12(9)
Machine learning model for the prediction of prostate cancer in patients with low prostate-specific antigen levels: A multicenter retrospective analysis.
Deng Xiaobin et al. Frontiers in oncology 2022 12985940
Transfer Learning-Based Multi-Scale Denoising Convolutional Neural Network for Prostate Cancer Detection.
Chui Kwok Tai et al. Cancers 2022 14(15)
Current Developments of Artificial Intelligence in Digital Pathology and Its Future Clinical Applications in Gastrointestinal Cancers.
Wong Alex Ngai Nick et al. Cancers 2022 14(15)
AI-assisted biparametric MRI surveillance of prostate cancer: feasibility study.
Roest C et al. European radiology 2022
Predicting the Need for Biopsy to Detect Clinically Significant Prostate Cancer in Patients with a Magnetic Resonance Imaging-detected Prostate Imaging Reporting and Data System/Likert ≥3 Lesion: Development and Multinational External Validation of the Imperial Rapid Access to Prostate Imaging and Diagnosis Risk Score.
Peters Max et al. European urology 2022
Developing machine learning algorithms for dynamic estimation of progression during active surveillance for prostate cancer.
Lee Changhee et al. NPJ digital medicine 2022 5(1) 110
Deep Learning-Based Multi-Omics Integration Robustly Predicts Relapse in Prostate Cancer.
Wei Ziwei et al. Frontiers in oncology 2022 12893424
The Mount Sinai Prebiopsy Risk Calculator for Predicting any Prostate Cancer and Clinically Significant Prostate Cancer: Development of a Risk Predictive Tool and Validation with Advanced Neural Networking, Prostate Magnetic Resonance Imaging Outcome Database, and European Randomized Study of Screening for Prostate Cancer Risk Calculator.
Parekh Sneha et al. European urology open science 2022 4145-54
Artificial Intelligence Algorithm-Based MRI for Differentiation Diagnosis of Prostate Cancer.
Luo Rui et al. Computational and mathematical methods in medicine 2022 20228123643
Role of Deep Learning in Prostate Cancer Management: Past, Present and Future Based on a Comprehensive Literature Review.
Naik Nithesh et al. Journal of clinical medicine 2022 11(13)
Application of machine learning to pretherapeutically estimate dosimetry in men with advanced prostate cancer treated with Lu-PSMA I&T therapy.
Xue Song et al. European journal of nuclear medicine and molecular imaging 2022
The role of artificial intelligence in MRI-driven active surveillance in prostate cancer.
Sushentsev Nikita et al. Nature reviews. Urology 2022
Predicting biochemical recurrence of prostate cancer with artificial intelligence.
Pinckaers Hans et al. Communications medicine 2022 264
Extraction of Treatment Information From Electronic Health Records and Evaluation of Testosterone Recovery in Patients With Prostate Cancer.
Guin Sunny et al. JCO clinical cancer informatics 2022 6e2200010
Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials
A Esteva et al, NPJ Digital Medicine, June 8, 2022
The Use of Digital Pathology and Artificial Intelligence in Histopathological Diagnostic Assessment of Prostate Cancer: A Survey of Prostate Cancer UK Supporters.
Rakovic Kai et al. Diagnostics (Basel, Switzerland) 2022 12(5)
Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading.
Wulczyn Ellery et al. Communications medicine 2022 110
Comprehensive analysis of the associations between clinical factors and outcomes by machine learning, using post marketing surveillance data of cabazitaxel in patients with castration-resistant prostate cancer.
Kazama Hirotaka et al. BMC cancer 2022 22(1) 470
Machine learning algorithms to estimate 10-Year survival in patients with bone metastases due to prostate cancer: toward a disease-specific survival estimation tool.
Anderson Ashley B et al. BMC cancer 2022 22(1) 476
Artificial intelligence supporting cancer patients across Europe-The ASCAPE project.
Tzelves Lazaros et al. PloS one 2022 17(4) e0265127
Current Value of Biparametric Prostate MRI with Machine-Learning or Deep-Learning in the Detection, Grading, and Characterization of Prostate Cancer: A Systematic Review.
Michaely Henrik J et al. Diagnostics (Basel, Switzerland) 2022 12(4)
Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review.
Sushentsev Nikita et al. Insights into imaging 2022 13(1) 59
Machine learning-based prediction of upgrading on magnetic resonance imaging targeted biopsy in patients eligible for active surveillance.
ElKarami Bashier et al. Urologic oncology 2022
A deep learning system for prostate cancer diagnosis and grading in whole slide images of core needle biopsies.
Singhal Nitin et al. Scientific reports 2022 12(1) 3383
A Novel Artificial Intelligence-Powered Method for Prediction of Early Recurrence of Prostate Cancer After Prostatectomy and Cancer Drivers.
Huang Wei et al. JCO clinical cancer informatics 2022 6e2100131
Evaluation of machine learning strategies for imaging confirmed prostate cancer recurrence prediction on electronic health records.
Beinecke Jacqueline Michelle et al. Computers in biology and medicine 2022 143105263
Machine and Deep Learning Prediction Of Prostate Cancer Aggressiveness Using Multiparametric MRI.
Bertelli Elena et al. Frontiers in oncology 2022 11802964
Deep Learning in Prostate Cancer Diagnosis Using Multiparametric Magnetic Resonance Imaging With Whole-Mount Histopathology Referenced Delineations.
Li Danyan et al. Frontiers in medicine 2022 8810995
Dosimetric impact of deep learning-based CT auto-segmentation on radiation therapy treatment planning for prostate cancer.
Kawula Maria et al. Radiation oncology (London, England) 2022 17(1) 21
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