Radiomics and Artificial Intelligence in Renal Lesion Assessment.
Crit Rev Oncog
; 29(2): 65-75, 2024.
Article
in En
| MEDLINE
| ID: mdl-38505882
ABSTRACT
Radiomics, the extraction and analysis of quantitative features from medical images, has emerged as a promising field in radiology with the potential to revolutionize the diagnosis and management of renal lesions. This comprehensive review explores the radiomics workflow, including image acquisition, feature extraction, selection, and classification, and highlights its application in differentiating between benign and malignant renal lesions. The integration of radiomics with artificial intelligence (AI) techniques, such as machine learning and deep learning, can help patients' management and allow the planning of the appropriate treatments. AI models have shown remarkable accuracy in predicting tumor aggressiveness, treatment response, and patient outcomes. This review provides insights into the current state of radiomics and AI in renal lesion assessment and outlines future directions for research in this rapidly evolving field.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Artificial Intelligence
/
Neoplasms
Limits:
Humans
Language:
En
Journal:
Crit Rev Oncog
Year:
2024
Document type:
Article