MEDICINE
RADIOLOGY
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
Qualitative and quantitative data extraction with machine learning technology in determining clinical decisions
|
|
|
Integration of knowledge from imaging characteristics with molecular characteristics in supporting clinical decision making
|
|
|
A technique for stratifying the degree of malignancy from the ability to adapt to exposure to microenvironment from the molecular characteristics of cells
|
|
|
Characteristics of cells that become an objective assessment in determining the response of cells to medical interventions
|
Detailed explanation-1: -Radiogenomics entails the correlation between quantitative or qualitative imaging features and the genomic data obtained from analysis of tissue as well as other clinical data, thus allowing the discovery of imaging surrogates that can serve as a substitute for genetic testing.
Detailed explanation-2: -Radiogenomics syndicates large-scale quantifiable data extracted from radiological medical images enveloped with personalized genomic phenotypes. It fabricates a prediction model through various AI methods to stratify the risk of patients, monitor therapeutic approaches, and assess clinical outcomes.
Detailed explanation-3: -Radiogenomics combines a large volume of quantitative data extracted from medical images with individual genomic phenotypes and constructs a prediction model through deep learning to stratify patients, guide therapeutic strategies, and evaluate clinical outcomes.