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Precision Health Database


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Cancer

Last data update: Mar 27, 2023. (Total: 58931 Documents since 2012)
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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
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
Novel, alternative splicing signature to detect lymph node metastasis in prostate adenocarcinoma with machine learning.
Ping Xie et al. Frontiers in oncology 2023 121084403
Automated quantification of PET/CT skeletal tumor burden in prostate cancer using artificial intelligence: The PET index.
Lindgren Belal Sarah et al. European journal of nuclear medicine and molecular imaging 2023
Towards artificial intelligence-based automated treatment planning in clinical practice: A prospective study of the first clinical experiences in high-dose-rate prostate brachytherapy.
Barten Danique L J et al. Brachytherapy 2023
Inference of core needle biopsy whole slide images requiring definitive therapy for prostate cancer.
Tsuneki Masayuki et al. BMC cancer 2023 23(1) 11
Is Artificial Intelligence Replacing Our Radiology Stars? Not Yet!
Cacciamani Giovanni E et al. European urology open science 2023 4814-16
Evaluation of automatic discrimination between benign and malignant prostate tissue in the era of high precision digital pathology.
Zhdanovich Yauheniya et al. BMC bioinformatics 2023 24(1) 1
Biparametric MRI-based radiomics classifiers for the detection of prostate cancer in patients with PSA serum levels of 4∼10 ng/mL.
Lu Yangbai et al. Frontiers in oncology 2022 121020317
Clinical Validation of Artificial Intelligence-Augmented Pathology Diagnosis Demonstrates Significant Gains in Diagnostic Accuracy in Prostate Cancer Detection.
Raciti Patricia et al. Archives of pathology & laboratory medicine 2022
Radiomic-Based machine learning model for the accurate prediction of prostate cancer risk stratification.
Shu Xin et al. The British journal of radiology 2022 20220238
The value of artificial intelligence for detection and grading of prostate cancer in human prostatectomy specimens: a validation study.
Kudo Maíra Suzuka et al. Patient safety in surgery 2022 16(1) 36
Artificial Intelligence for Clinical Diagnosis and Treatment of Prostate Cancer.
Rabaan Ali A et al. Cancers 2022 14(22)
Prostate Cancer Risk Prediction and Online Calculation Based on Machine Learning Algorithm.
Chun Wang et al. Chinese medical sciences journal = Chung-kuo i hsueh k'o hsueh tsa chih 2022 37(3) 210-217
Performance variability of radiomics machine learning models for the detection of clinically significant prostate cancer in heterogeneous MRI datasets.
Gresser Eva et al. Quantitative imaging in medicine and surgery 2022 12(11) 4990-5003
Survival analysis of localized prostate cancer with deep learning.
Dai Xin et al. Scientific reports 2022 12(1) 17821
A review of artificial intelligence in prostate cancer detection on imaging.
Bhattacharya Indrani et al. Therapeutic advances in urology 2022 1417562872221128791
An inception-based deep multiparametric net to classify clinical significance MRI regions of prostate cancer.
Gutierrez Yesid Alfonso et al. Physics in medicine and biology 2022
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
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