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Last Posted: Jun 19, 2024

• Enhancing bladder cancer diagnosis through transitional cell carcinoma polyp detection and segmentation: an artificial intelligence powered deep learning solution.
  Mahdi-Reza Borna et al. Front Artif Intell 2024 71406806
• Predicting non-muscle invasive bladder cancer outcomes using artificial intelligence: a systematic review using APPRAISE-AI.
  Jethro C C Kwong et al. NPJ Digit Med 2024 7(1) 98
• Preoperative CT-based deep learning radiomics model to predict lymph node metastasis and patient prognosis in bladder cancer: a two-center study.
  Rui Sun et al. Insights Imaging 2024 15(1) 21
• Evaluation of a Natural Language Processing Model to Identify and Characterize Patients in the United States With High-Risk Non-Muscle-Invasive Bladder Cancer.
  Vikram M Narayan et al. JCO Clin Cancer Inform 2023 7e2300096
• CT-based deep learning radiomics nomogram for the prediction of pathological grade in bladder cancer: a multicenter study.
  Hongzheng Song et al. Cancer Imaging 2023 23(1) 89
• Racial and sex differences in tumor genomics in urothelial carcinoma.
  Yaw A Nyame et al. Urol Oncol 2023
• Real-time Detection of Bladder Cancer Using Augmented Cystoscopy with Deep Learning: a Pilot Study.
  Timothy Chan Chang et al. J Endourol 2023
• Value of the application of computed tomography-based radiomics for preoperative prediction of unfavorable pathology in initial bladder cancer.
  Situ Xiong et al. Cancer Med 2023
• How the Y chromosome makes some cancers more deadly for men
  H Ledford, Nature, June 21, 2023
• Assessment of Tumor Mutational Burden and Outcomes in Patients With Diverse Advanced Cancers Treated With Immunotherapy.
  Charu Aggarwal et al. JAMA Netw Open 2023 6(5) e2311181
• 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
• A Favorable Benefit-Risk Balance Maybe Expected with the Replication-defective Adenovirus-mediated Interferon Gene Therapy for Cancer Treatment.
  Albert Qin et al. Human gene therapy 2023
• Systematic review of reported association studies of monogenic genes and bladder cancer risk and confirmation analysis in a large population cohort.
  Abrar Mian et al. BJUI compass 2023 4(2) 156-163
• Relative Risk of Bladder and Kidney Cancer in Lynch Syndrome: Systematic Review and Meta-Analysis.
  Nassour Anthony-Joe et al. Cancers 2023 15(2)
• Bladder Cancer Radiation Oncology of the Future: Prognostic Modelling, Radiomics, and Treatment Planning With Artificial Intelligence.
  Moore Nicholas S et al. Seminars in radiation oncology 2022 33(1) 70-75
• A risk score for the prognosis prediction of the muscle-invasive bladder cancer patients who received gemcitabine plus cisplatin chemotherapy.
  Guo Yupeng et al. Aging 2022 14
• TERT Promoter Mutations as Simple and Non-Invasive Urinary Biomarkers for the Detection of Urothelial Bladder Cancer in a High-Risk Region.
  Pakmanesh Hamid et al. International journal of molecular sciences 2022 23(22)
• Development and validation of a novel model for predicting the survival of bladder cancer based on ferroptosis-related genes.
  Li Lianjun et al. Aging 2022 14
• Genitourinary manifestations of Lynch syndrome in the urological practice.
  Lonati Chiara et al. Asian journal of urology 2022 9(4) 443-450
• Interaction between blood pressure and genetic risk score for bladder cancer, and risk of urothelial carcinoma in men.
  Teleka Stanley et al. Scientific reports 2022 12(1) 18336
• Susceptibility Loci in SLC15A1, UGT1A3, and CWC27 Genes Associated with Bladder Cancer in the Northeast Chinese Population.
  Wu Peihong et al. BioMed research international 2022 20222988159
• Landscape of RB1 alterations in 22,432 Chinese solid tumor patients.
  Xu Guanghui et al. Annals of translational medicine 2022 10(16) 885
• Radiomics Signature Using Manual Versus Automated Segmentation for Lymph Node Staging of Bladder Cancer.
  Gresser Eva et al. European urology focus 2022
• Prevalence of ARID1A Mutations in Cell-Free Circulating Tumor DNA in a Cohort of 71,301 Patients and Association with Driver Co-Alterations.
  Kurzrock Razelle et al. Cancers 2022 14(17)
• Competitive Risk Model for Specific Mortality Prediction in Patients with Bladder Cancer: A Population-Based Cohort Study with Machine Learning.
  Su Hao et al. Journal of oncology 2022 20229577904
• Uncovering additional predictors of urothelial carcinoma from voided urothelial cell clusters through a deep learning-based image preprocessing technique.
  Levy Joshua J et al. Cancer cytopathology 2022
• Prognostic Role of RNA Expression Molecular Biomarkers in Prostate and Bladder Cancers.
  Ahmed Mohamed E et al. European urology focus 2022
• Inherited Germline Cancer Susceptibility Gene Variants in Individuals with Non-Muscle-Invasive Bladder Cancer.
  Pietzak Eugene J et al. Clinical cancer research : an official journal of the American Association for Cancer Research 2022
• Prevalence of Germline Findings Among Tumors From Cancer Types Lacking Hereditary Testing Guidelines.
  Yap Timothy A et al. JAMA network open 2022 5(5) e2213070
• Association of Pathogenic Variants in Hereditary Cancer Genes With Multiple Diseases.
  Zeng Chenjie et al. JAMA oncology 2022
• Three-Dimensional Ultrasound Images in the Assessment of Bladder Tumor Health Monitoring under Deep Learning Algorithms.
  Shao Changhua et al. Computational and mathematical methods in medicine 2022 20229170274
• Prognostic and Predictive Value of Fibroblast Growth Factor Receptor Alterations in High-grade Non-muscle-invasive Bladder Cancer Treated with and Without Bacillus Calmette-Guérin Immunotherapy.
  Mayr Roman et al. European urology 2022
• Detection of Cancer Mutations by Urine Liquid Biopsy as a Potential Tool in the Clinical Management of Bladder Cancer Patients.
  Ibrahim Nurul Khalida et al. Cancers 2022 14(4)
• A 7-gene signature predicts the prognosis of patients with bladder cancer.
  Tang Fucai et al. BMC urology 2022 22(1) 8
• Explainable artificial intelligence (XAI): closing the gap between image analysis and navigation in complex invasive diagnostic procedures.
  O'Sullivan S et al. World journal of urology 2022
• Development and validation of Pyroptosis‑related lncRNAs prediction model for bladder cancer.
  Lia Thongher et al. Bioscience reports 2022
• Multi-Omics analysis identifies a lncRNA-related prognostic signature to predict bladder cancer recurrence.
  Xu Zhipeng et al. Bioengineered 2021
• A Fact-Finding Procedure Integrating Machine Learning and AHP Technique to Predict Delayed Diagnosis of Bladder Patients with Hematuria.
  Lo Chia-Lun et al. Journal of healthcare engineering 2021 20213831453
• Identification of Lymph Node Metastasis-Related Key Genes and Prognostic Risk Model in Bladder Cancer by Co-Expression Analysis.
  Luo Cheng et al. Frontiers in molecular biosciences 2021 8633299
• Usefulness of texture features of apparent diffusion coefficient maps in predicting chemoradiotherapy response in muscle-invasive bladder cancer.
  Kimura Koichiro et al. European radiology 2021
• Role of Radiomics in the Prediction of Muscle-invasive Bladder Cancer: A Systematic Review and Meta-analysis.
  Kozikowski Mieszko et al. European urology focus 2021
• The use of artificial intelligence for the diagnosis of bladder cancer: a review and perspectives.
  Chan Erica On-Ting et al. Current opinion in urology 2021
• Clinical use of machine learning-based patho-mics signature for diagnosis and survival prediction of bladder cancer.
  Chen Siteng et al. Cancer science 2021
• Biomarker approach harnessed in trials of personalized medicine for bladder cancer
  N Dizman et al, Nature Medicine, May 3, 2021
• Bladder cancer in the time of machine learning: Intelligent tools for diagnosis and management.
  Gandi Carlo et al. Urologia 2021 Jan 391560320987169
• Genetic Differences Between Bladder and Upper Urinary Tract Carcinoma: Implications for Therapy.
  Sfakianos John P et al. European urology oncology 2020 Dec
• A TP53-based immune prognostic model for muscle-invasive bladder cancer.
  Li Hongyan et al. Aging 2020 Dec 12
• Autophagy-related long noncoding RNAs can predict prognosis in patients with bladder cancer.
  Lai Cong et al. Aging 2020 Nov 12
• Automatic recognition of bladder tumors using deep learning technology and its clinical application.
  Yang Rui et al. The international journal of medical robotics + computer assisted surgery : MRCAS 2020 Oct e2194
• Targeted Molecular Therapeutics for Bladder Cancer-A New Option beyond the Mixed Fortunes of Immune Checkpoint Inhibitors?
  Bednova Olga et al. International journal of molecular sciences 2020 Oct 21(19)
• Clinical Validation of a Urine Test (Uromonitor-V2 ® ) for the Surveillance of Non-Muscle-Invasive Bladder Cancer Patients.
  Sieverink Caroline A et al. Diagnostics (Basel, Switzerland) 2020 Sep 10(10)
• Extensive heterogeneity in somatic mutation and selection in the human bladder.
  Lawson Andrew R J et al. Science (New York, N.Y.) 2020 Oct 370(6512) 75-82
• A deep learning network-assisted Bladder Tumor Recognition under Cystoscopy Based on Caffe Deep Learning Framework and EasyDL Platform.
  Du Yang et al. The international journal of medical robotics + computer assisted surgery : MRCAS 2020 Sep
• Activating Telomerase TERT Promoter Mutations and Their Application for the Detection of Bladder Cancer.
  Zvereva Maria et al. International journal of molecular sciences 2020 Aug 21(17)
• Identification of prognostic biomarkers associated with stromal cell infiltration in muscle-invasive bladder cancer by bioinformatics analyses.
  Li Pan et al. Cancer medicine 2020 Aug
• A novel risk score based on a combined signature of 10 immune system genes to predict bladder cancer prognosis.
  Tang Yunliang et al. International immunopharmacology 2020 Aug 87106851
• Evaluation of miR-130 family members as circulating biomarkers for the diagnosis of bladder cancer.
  Wang Jingyao et al. Journal of clinical laboratory analysis 2020 Aug e23517
• The prognostic value of six survival-related genes in bladder cancer.
  Cheng Shuting et al. Cell death discovery 2020 658
• A two-gene methylation signature for the diagnosis of bladder cancer in urine.
  Bosschieter Judith et al. Epigenomics 2019 11(3) 337-347
• Current status of genetic urinary biomarkers for surveillance of non-muscle invasive bladder cancer: a systematic review.
  Lozano F et al. BMC urology 2020 Jul 20(1) 99
• Development and validation of a molecular prognostic index of bladder cancer based on immunogenomic landscape analysis.
  Xu Ning et al. Cancer cell international 2020 20302
• Application Areas of Traditional Molecular Genetic Methods and NGS in relation to Hereditary Urological Cancer Diagnosis.
  Mikhaylenko Dmitry S et al. Journal of oncology 2020 20207363102
• Development of robust artificial neural networks for prediction of 5-year survival in bladder cancer.
  Bhambhvani Hriday P et al. Urologic oncology 2020 Jun
• A Systematic Review on Mutation Markers for Bladder Cancer Diagnosis in Urine.
  Hentschel A E et al. BJU international 2020 Jun
• Genetic risk scores based on risk-associated single nucleotide polymorphisms can reveal inherited risk of bladder cancer in Chinese population.
  Xu Chenyang et al. Medicine 2020 May 99(19) e19980
• Diagnostic Accuracy of MCM5 for the Detection of Recurrence in Non Muscle Invasive Bladder Cancer Follow up: A Blinded, Prospective Cohort, Multicentric European Study.
  Roupret Morgan et al. The Journal of urology 2020 Apr 101097JU0000000000001084
• Multiresolution Application of Artificial Intelligence in Digital Pathology for Prediction of Positive Lymph Nodes From Primary Tumors in Bladder Cancer.
  Harmon Stephanie A et al. JCO clinical cancer informatics 2020 Apr 4367-382
• A noninvasive urine-based methylation biomarker panel to detect bladder cancer and discriminate cancer grade.
  Hermanns Thomas et al. Urologic oncology 2020 Feb
• Liquid Biopsies to Select Patients for Perioperative Chemotherapy in Muscle-invasive Bladder Cancer: A Systematic Review.
  de Kruijff Ingeborg E et al. European urology oncology 2020 Feb
• A co-expression network for differentially expressed genes in bladder cancer and a risk score model for predicting survival.
  Chen Zihao et al. Hereditas 2019 15624

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