AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Kidney Neoplasms

Showing 381 to 390 of 460 articles

Clear Filters

Selective Clamping for Robot-Assisted Surgical Procedures.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Partial nephrectomy, the gold standard treatment for renal tumors, is performed with clamping of the renal arteries, in order to interrupt the blood flowing towards the tumor. However, the temporary interruption of arterial flow may lead to ischemia ...

Deciphering the tumour microenvironment of clear cell renal cell carcinoma: Prognostic insights from programmed death genes using machine learning.

Journal of cellular and molecular medicine
Clear cell renal cell carcinoma (ccRCC), a prevalent kidney cancer form characterised by its invasiveness and heterogeneity, presents challenges in late-stage prognosis and treatment outcomes. Programmed cell death mechanisms, crucial in eliminating ...

The expanding role of artificial intelligence in the histopathological diagnosis in urological oncology: a literature review.

Folia medica
The ongoing growth of artificial intelligence (AI) involves virtually every aspect of oncologic care in medicine. Although AI is in its infancy, it has shown great promise in the diagnosis of oncologic urological conditions. This paper aims to explor...

Deep Learning Assessment of Small Renal Masses at Contrast-enhanced Multiphase CT.

Radiology
Background Accurate characterization of suspicious small renal masses is crucial for optimized management. Deep learning (DL) algorithms may assist with this effort. Purpose To develop and validate a DL algorithm for identifying benign small renal ma...

Applications of artificial intelligence in urologic oncology.

Investigative and clinical urology
PURPOSE: With the recent rising interest in artificial intelligence (AI) in medicine, many studies have explored the potential and usefulness of AI in urological diseases. This study aimed to comprehensively review recent applications of AI in urolog...

Factors affecting the use of a three-dimensional model during robot-assisted partial nephrectomy.

Asian journal of endoscopic surgery
INTRODUCTION: This study aimed to identify cases that require a three-dimensional-printed kidney model in robot-assisted partial nephrectomy.

Characterizing and predicting ccRCC-causing missense mutations in Von Hippel-Lindau disease.

Human molecular genetics
BACKGROUND: Mutations within the Von Hippel-Lindau (VHL) tumor suppressor gene are known to cause VHL disease, which is characterized by the formation of cysts and tumors in multiple organs of the body, particularly clear cell renal cell carcinoma (c...

Machine Learning-Based Pathomics Model to Predict the Prognosis in Clear Cell Renal Cell Carcinoma.

Technology in cancer research & treatment
Clear cell renal cell carcinoma (ccRCC) is a highly lethal urinary malignancy with poor overall survival (OS) rates. Integrating computer vision and machine learning in pathomics analysis offers potential for enhancing classification, prognosis, and ...

An automated two-stage approach to kidney and tumor segmentation in CT imaging.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: The incidence of kidney tumors is progressively increasing each year. The precision of segmentation for kidney tumors is crucial for diagnosis and treatment.

Can Simplified PADUA Renal (SPARE) Nephrometry scoring system help predict renal function outcomes after robot-assisted partial nephrectomy? (UroCCR study 93).

Minerva urology and nephrology
BACKGROUND: The SPARE Nephrometry Score (NS) is described as easier to implement than the RENAL and PADUA NSs, currently more widely used. Our objective was to compare the accuracy of SPARE NS in predicting renal function outcomes following RAPN.