Artificial Intelligence and Machine Learning in Prostate Cancer Patient Management—Current Trends and Future Perspectives

Cancer statistics, 2020

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Artificial intelligence as the next step towards precision pathology

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Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study

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Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study

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Artificial intelligence and neural networks in urology: current clinical applications

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Prediction of tumor location in prostate cancer tissue using a machine learning system on gene expression data

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A Deep Dive into Understanding Tumor Foci Classification using Multiparametric MRI Based on Convolutional Neural Network

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Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies

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Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy

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Radiomics Driven Diffusion Weighted Imaging Sensing Strategies for Zone-Level Prostate Cancer Sensing

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New prostate MRI techniques and sequences

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The Effect of Higher Level Computerized Clinical Decision Support Systems on Oncology Care: A Systematic Review

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Artificial intelligence in multiparametric prostate cancer imaging with focus on deep-learning methods

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Deep‐Learning‐Based Artificial Intelligence for PI‐RADS Classification to Assist Multiparametric Prostate MRI Interpretation: A Development Study

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Automated reference tissue normalization of T2-weighted MR images of the prostate using object recognition

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Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists

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Identification of areas of grading difficulties in prostate cancer and comparison with artificial intelligence assisted grading

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Machine Learning-Based Models for Prediction of Toxicity Outcomes in Radiotherapy

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A 3D/2D Hybrid U-Net CNN approach to prostate organ segmentation of mpMRI

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Applications of neural networks in urology: a systematic review

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Artificial intelligence‐based radiotherapy machine parameter optimization using reinforcement learning

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Industry ties and evidence in public comments on the FDA framework for modifications to artificial intelligence/machine learning-based medical devices: a cross sectional study

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Deep Learning Regression for Prostate Cancer Detection and Grading in Bi-Parametric MRI

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Machine learning-based radiomic models to predict intensity-modulated radiation therapy response, Gleason score and stage in prostate cancer

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Introduction to artificial intelligence in medicine

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Dose evaluation of MRI-based synthetic CT generated using a machine learning method for prostate cancer radiotherapy

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Development and clinical implementation of SeedNet: A sliding-window convolutional neural network for radioactive seed identification in MRI-assisted radiosurgery (MARS)

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Artificial intelligence in digital pathology: A roadmap to routine use in clinical practice

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Ultrasound prostate segmentation based on multidirectional deeply supervised V‐Net

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A new era: artificial intelligence and machine learning in prostate cancer

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Deep learning for automatic Gleason pattern classification for grade group determination of prostate biopsies

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Artificial intelligence at the intersection of pathology and radiology in prostate cancer

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Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

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Prediction of prostate cancer aggressiveness with a combination of radiomics and machine learning-based analysis of dynamic contrast-enhanced MRI

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Semi-automatic classification of prostate cancer on multi-parametric MR imaging using a multi-channel 3D convolutional neural network

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An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis

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Automated multiparametric localization of prostate cancer based on B-mode, shear-wave elastography, and contrast-enhanced ultrasound radiomics

(2019) Rogier R. Wildeboer et al.   EUROPEAN RADIOLOGY

Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images

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DNA Methylation Markers for Pan-Cancer Prediction by Deep Learning

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Technical Note: A feasibility study on deep learning‐based radiotherapy dose calculation

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Synthetic MRI-aided multi-organ segmentation on male pelvic CT using cycle consistent deep attention network

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Computer-aided diagnosis of prostate cancer on magnetic resonance imaging using a convolutional neural network algorithm

(2018) Junichiro Ishioka et al.   BJU INTERNATIONAL

Use of machine learning to predict early biochemical recurrence following robotic prostatectomy

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Prostate cancer detection using machine learning techniques by employing combination of features extracting strategies

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Computer-aided diagnosis prior to conventional interpretation of prostate mpMRI: an international multi-reader study

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A Deep Learning Approach for Targeted Contrast-Enhanced Ultrasound Based Prostate Cancer Detection

(2018) Yujie Feng et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Machine Learning on a Genome-wide Association Study to Predict Late Genitourinary Toxicity After Prostate Radiation Therapy

(2018) Sangkyu Lee et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

Computer-aided diagnosis of prostate cancer using a deep convolutional neural network from multiparametric MRI

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A deep learning approach for real time prostate segmentation in freehand ultrasound guided biopsy

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Weakly-supervised convolutional neural networks for multimodal image registration

(2018) Yipeng Hu et al.   MEDICAL IMAGE ANALYSIS

Prostate segmentation in transrectal ultrasound using magnetic resonance imaging priors

(2018) Qi Zeng et al.   International Journal of Computer Assisted Radiology and Surgery

Automated Performance Metrics and Machine Learning Algorithms to Measure Surgeon Performance and Anticipate Clinical Outcomes in Robotic Surgery

(2018) Andrew J. Hung et al.   JAMA Surgery

RankProd Combined with Genetic Algorithm Optimized Artificial Neural Network Establishes a Diagnostic and Prognostic Prediction Model that Revealed C1QTNF3 as a Biomarker for Prostate Cancer

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Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

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Automatic Grading of Prostate Cancer in Digitized Histopathology Images: Learning from Multiple Experts

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MRI-based automated detection of implanted low dose rate (LDR) brachytherapy seeds using quantitative susceptibility mapping (QSM) and unsupervised machine learning (ML)

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Robotic-assisted vs. open radical prostatectomy: A machine learning framework for intelligent analysis of patient-reported outcomes from online cancer support groups

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Can computer-aided diagnosis assist in the identification of prostate cancer on prostate MRI? a multi-center, multi-reader investigation

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Automated Gleason grading of prostate cancer tissue microarrays via deep learning

(2018) Eirini Arvaniti et al.   Scientific Reports

How AI Is Optimizing the Detection and Management of Prostate Cancer

(2018) Kamlesh K. Yadav   IEEE Pulse

Comparing Three Different Techniques for Magnetic Resonance Imaging-targeted Prostate Biopsies: A Systematic Review of In-bore versus Magnetic Resonance Imaging-transrectal Ultrasound fusion versus Cognitive Registration. Is There a Preferred Technique?

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Detection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection

(2017) Duygu Sarikaya et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Evaluation of a Machine-Learning Algorithm for Treatment Planning in Prostate Low-Dose-Rate Brachytherapy

(2017) Alexandru Nicolae et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

A survey on deep learning in medical image analysis

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Color-coded visualization of magnetic resonance imaging multiparametric maps

(2017) Jakob Nikolas Kather et al.   Scientific Reports

Use of a Novel Nonparametric Version of DEPTH to Identify Genomic Regions Associated with Prostate Cancer Risk

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Assessment of PI-RADS v2 for the Detection of Prostate Cancer

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Learning-Based Multi-Label Segmentation of Transrectal Ultrasound Images for Prostate Brachytherapy

(2016) Saman Nouranian et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Radiomics based targeted radiotherapy planning (Rad-TRaP): a computational framework for prostate cancer treatment planning with MRI

(2016) Rakesh Shiradkar et al.   Radiation Oncology

Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis

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Deep learning

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Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions

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Validation of a Genomic Classifier that Predicts Metastasis Following Radical Prostatectomy in an At Risk Patient Population

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Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge

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Prostate: Registration of Digital Histopathologic Images to in Vivo MR Images Acquired by Using Endorectal Receive Coil

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Creation of a fully digital pathology slide archive by high-volume tissue slide scanning

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