Artificial intelligence for the prediction bladder cancer

Artificial intelligence for the prediction bladder cancer

New techniques for the prediction of tumour behaviour are needed as statistical analysis has a poor accuracy and is not applicable to the individual. Artificial intelligence (AI) may provide these suitable methods. We have previously shown that the predictive accuracies of neuro-fuzzy modelling (NFM...

書目詳細資料
Main Authors:	Abbod, M, Catto, J, Chen, M, Linkens, D, Hamdy, F
格式:	Journal article
語言:	English
出版:	2004

相似書籍

Comparative study of intelligent models for the prediction of bladder cancer progression.
由: Abbod, M, et al.
出版: (2006)

Artificial intelligence in predicting bladder cancer outcome: a comparison of neuro-fuzzy modeling and artificial neural networks.
由: Catto, J, et al.
出版: (2003)

Neuro-fuzzy modeling: an accurate and interpretable method for predicting bladder cancer progression.
由: Catto, J, et al.
出版: (2006)

Application of artificial intelligence to the management of urological cancer
由: Abbod, MF, et al.
出版: (2007)

Artificial intelligence and bladder cancer arrays.
由: Wild, P, et al.
出版: (2007)

Artificial intelligence technique for gene expression profiling of urinary bladder cancer
由: Abbod, M, et al.
出版: (2006)

Artificial intelligence technique for gene expression profiling of urinary bladder cancer
由: Abbod, M, et al.
出版: (2006)

Predictive modeling in cancer: where systems biology meets the stock market.
由: Abbod, M, et al.
出版: (2009)

Improving gene array analysis: The application of artificial intelligence identifies novel biomarkers of non invasive papillary bladder cancer progression
由: Wild, P, et al.
出版: (2007)

Promoter hypermethylation identifies progression risk in bladder cancer.
由: Yates, DR, et al.
出版: (2007)

The application of artificial intelligence to microarray data: identification of a novel gene signature to identify bladder cancer progression.
由: Catto, J, et al.
出版: (2010)

Neurofuzzy modeling to determine recurrence risk following radical cystectomy for nonmetastatic urothelial carcinoma of the bladder.
由: Catto, J, et al.
出版: (2009)

Development of a prognostic marker panel in bladder cancer using aberrant promoter methylation
由: Catto, J, et al.
出版: (2007)

Artificial intelligence re-analysis of gene array data identifies novel markers of urothelial cancer progression
由: Catto, J, et al.
出版: (2007)

Less is more: artificial intelligence and gene-expression arrays.
由: Hamdy, F, et al.
出版: (2004)

Targeting chemotherapy to advanced bladder cancer patients most likely to benefit.
由: Catto, J, et al.
出版: (2010)

Genetic instability and transitional cell carcinoma of the bladder.
由: Catto, J, et al.
出版: (2004)

Reply from Authors re: David J. DeGraff. Novel Use of a Combined Artificial Intelligence Approach to Identify Patients with Noninvasive Urothelial Cell Carcinoma of the Urinary Bladder Who Are at Greatest Risk for Progression to Muscle-Invasive Disease: A Step Forward. Eur Urol 2010; 57: 407-8
由: Catto, J, et al.
出版: (2010)

URINARY MICRORNA IN BLADDER CANCER - A POTENTIAL DIAGNOSTIC TOOL
由: Miah, S, et al.
出版: (2011)

Multiparametric MRI and artificial intelligence in predicting and monitoring treatment response in bladder cancer
由: Yuki Arita, et al.
出版: (2025-01-01)

The accuracy and quality of image-based artificial intelligence for muscle-invasive bladder cancer prediction
由: Chunlei He, et al.
出版: (2024-08-01)

Artificial Intelligence: The Latest Advances in the Diagnosis of Bladder Cancer
由: Satyendra Singh, et al.
出版: (2024-11-01)

ABC: Artificial Intelligence for Bladder Cancer grading system
由: Khashayar Habibi, et al.
出版: (2022-09-01)

Methylational urinalysis: a prospective study of bladder cancer patients and age stratified benign controls.
由: Yates, DR, et al.
出版: (2006)

Artificial intelligence in bladder cancer: current trends and future possibilities
由: Jun Ma, et al.
出版: (2022-04-01)

Differential expression of hMLH1 and hMSH2 is related to bladder cancer grade, stage and prognosis but not microsatellite instability.
由: Catto, J, et al.
出版: (2003)

Comparing gene promoter methylation frequencies in urine from patients with bladder cancer with urine from non-cancerous young and elderly control patients
由: Yates, DR, et al.
出版: (2005)

An evaluation of urinary microRNA reveals a high sensitivity for bladder cancer
由: Miah, S, et al.
出版: (2012)

An evaluation of urinary microRNA reveals a high sensitivity for bladder cancer.
由: Miah, S, et al.
出版: (2012)

Can artificial intelligence aid the urologists in detecting bladder cancer?
由: Antoninus Hengky, et al.
出版: (2024-10-01)

Aberrant promoter methylation in pre-malignant and invasive tumours of the urinary bladder
由: Yates, D, et al.
出版: (2005)

Artificial Intelligence in Bladder Cancer Diagnosis: Current Applications and Future Perspectives
由: Giulio Rossin, et al.
出版: (2023-02-01)

A gene promoter hypermethylation panel to detect transitional cell carcinoma of the bladder
由: Yates, DR, et al.
出版: (2006)

Artificial neural network in predicting bladder cancer recurrence
由: Borkowska Edyta, et al.
出版: (2012-01-01)

Hypermethylation of CpG islands and shores around specific microRNAs and mirtrons is associated with the phenotype and presence of bladder cancer.
由: Dudziec, E, et al.
出版: (2011)

Artificial intelligence application in the diagnosis and treatment of bladder cancer: advance, challenges, and opportunities
由: Xiaoyu Ma, et al.
出版: (2024-11-01)

Hypoxia regulated miRNAs in bladder cancer
由: Blick, C, et al.
出版: (2012)

The Role of Intelligence in Systems Engineering ( ‘Render Unto Caesar the things That are Caesar's’)
由: D A Linkens
出版: (1993-10-01)

MicroRNA in prostate, bladder, and kidney cancer: A systematic review
由: Catto, J, et al.
出版: (2011)

MicroRNA in prostate, bladder, and kidney cancer: a systematic review.
由: Catto, J, et al.
出版: (2011)