AIMC Topic: Urinary Bladder Neoplasms
Clear Filters Showing 41 to 50 of 404 articles
Comparative Bladder Cancer Tissues Prediction Using Vision Transformer.
Journal of imaging informatics in medicine
Oct 25, 2024
Bladder cancer, often asymptomatic in the early stages, is a type of cancer where early detection is crucial. Herein, endoscopic images are meticulously evaluated by experts, and sometimes even by different disciplines, to identify tissue types. It i...
Artificial Intelligence-Based Assessment of Preoperative Body Composition Is Associated With Early Complications After Radical Cystectomy.
The Journal of urology
Oct 11, 2024
PURPOSE: We aimed to use a validated artificial intelligence (AI) algorithm to extract muscle and adipose areas from CT images before radical cystectomy (RCx) and then correlate these measures with 90-day post-RCx complications.
Predicting Response to Intravesical Bacillus Calmette-Guérin in High-Risk Nonmuscle-Invasive Bladder Cancer Using an Artificial Intelligence-Powered Pathology Assay: Development and Validation in an International 12-Center Cohort.
The Journal of urology
Oct 9, 2024
PURPOSE: There are few markers to identify those likely to recur or progress after treatment with intravesical bacillus Calmette-Guérin (BCG). We developed and validated artificial intelligence (AI)-based histologic assays that extract interpretable ...
Efficient bladder cancer diagnosis using an improved RIME algorithm with Orthogonal Learning.
Computers in biology and medicine
Sep 24, 2024
Bladder cancer (BC) diagnosis presents a critical challenge in biomedical research, necessitating accurate tumor classification from diverse datasets for effective treatment planning. This paper introduces a novel wrapper feature selection (FS) metho...
A commentary on 'Single-cell and bulk RNA-sequence identified fibroblasts signature and CD8 + T cell - fibroblast subtype predicting prognosis and immune therapeutic response of bladder cancer, based on machine-learning'.
International journal of surgery (London, England)
Sep 1, 2024
Multiparametric MRI-Based Deep Learning Radiomics Model for Assessing 5-Year Recurrence Risk in Non-Muscle Invasive Bladder Cancer.
Journal of magnetic resonance imaging : JMRI
Aug 21, 2024
BACKGROUND: Accurately assessing 5-year recurrence rates is crucial for managing non-muscle-invasive bladder carcinoma (NMIBC). However, the European Organization for Research and Treatment of Cancer (EORTC) model exhibits poor performance.
Risk Assessment
Deep Learning
Magnetic Resonance Imaging
Aged
Humans
Urinary Bladder Neoplasms
Female
Multiparametric Magnetic Resonance Imaging
Radiomics
Retrospective Studies
Neoplasm Invasiveness
Reproducibility of Results
Male
Non-Muscle Invasive Bladder Neoplasms
Neoplasm Recurrence, Local
Risk Factors
Middle Aged
Urinary Bladder
is a novel marker for bladder cancer prognosis: evidence based on experimental studies, machine learning and single-cell sequencing.
Frontiers in immunology
Aug 21, 2024
BACKGROUND: Bladder cancer, a highly fatal disease, poses a significant threat to patients. Positioned at 19q13.2-13.3, LIG1, one of the four DNA ligases in mammalian cells, is frequently deleted in tumour cells of diverse origins. Despite this, the ...
Single-cell and bulk RNA-sequence identified fibroblasts signature and CD8 + T-cell - fibroblast subtype predicting prognosis and immune therapeutic response of bladder cancer, based on machine learning: bioinformatics multi-omics study.
International journal of surgery (London, England)
Aug 1, 2024
BACKGROUND: Cancer-associated fibroblasts (CAFs) are found in primary and advanced tumours. They are primarily involved in tumour progression through complex mechanisms with other types of cells in the tumour microenvironment. However, essential fibr...
A commentary on 'A CT-based deep learning model predicts overall survival in patients with muscle invasive bladder cancer after radical cystectomy: a multicenter retrospective cohort study'.
International journal of surgery (London, England)
Aug 1, 2024
Deep learning identifies histopathologic changes in bladder cancers associated with smoke exposure status.
PloS one
Jul 31, 2024
Smoke exposure is associated with bladder cancer (BC). However, little is known about whether the histologic changes of BC can predict the status of smoke exposure. Given this knowledge gap, the current study investigated the potential association be...
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