Role of artificial intelligence in radiogenomics for cancers in the era of precision medicine
Simple Summary Recently, radiogenomics has played a significant role and offered a new
understanding of cancer's biology and behavior in response to standard therapy. It also …
understanding of cancer's biology and behavior in response to standard therapy. It also …
Bias investigation in artificial intelligence systems for early detection of Parkinson's disease: a narrative review
Background and Motivation: Diagnosis of Parkinson's disease (PD) is often based on
medical attention and clinical signs. It is subjective and does not have a good prognosis …
medical attention and clinical signs. It is subjective and does not have a good prognosis …
Machine learning outperforms ACC/AHA CVD risk calculator in MESA
IA Kakadiaris, M Vrigkas, AA Yen… - Journal of the …, 2018 - Am Heart Assoc
Background Studies have demonstrated that the current US guidelines based on American
College of Cardiology/American Heart Association (ACC/AHA) Pooled Cohort Equations …
College of Cardiology/American Heart Association (ACC/AHA) Pooled Cohort Equations …
Role of ensemble deep learning for brain tumor classification in multiple magnetic resonance imaging sequence data
The biopsy is a gold standard method for tumor grading. However, due to its invasive nature,
it has sometimes proved fatal for brain tumor patients. As a result, a non-invasive computer …
it has sometimes proved fatal for brain tumor patients. As a result, a non-invasive computer …
Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm
Abstract Background and Objective Fatty Liver Disease (FLD)-a disease caused by
deposition of fat in liver cells, is predecessor to terminal diseases such as liver cancer. The …
deposition of fat in liver cells, is predecessor to terminal diseases such as liver cancer. The …
Economics of artificial intelligence in healthcare: diagnosis vs. treatment
NN Khanna, MA Maindarkar, V Viswanathan… - Healthcare, 2022 - mdpi.com
Motivation: The price of medical treatment continues to rise due to (i) an increasing
population;(ii) an aging human growth;(iii) disease prevalence;(iv) a rise in the frequency of …
population;(ii) an aging human growth;(iii) disease prevalence;(iv) a rise in the frequency of …
A novel block imaging technique using nine artificial intelligence models for COVID-19 disease classification, characterization and severity measurement in lung …
Computer Tomography (CT) is currently being adapted for visualization of COVID-19 lung
damage. Manual classification and characterization of COVID-19 may be biased depending …
damage. Manual classification and characterization of COVID-19 may be biased depending …
3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated …
Abstract Background and Purpose Atherosclerotic plaque tissue rupture is one of the
leading causes of strokes. Early carotid plaque monitoring can help reduce cardiovascular …
leading causes of strokes. Early carotid plaque monitoring can help reduce cardiovascular …
Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and …
Objective Cardiovascular disease (CVD) is a major healthcare challenge and therefore early
risk assessment is vital. Previous assessment techniques use either “conventional CVD risk …
risk assessment is vital. Previous assessment techniques use either “conventional CVD risk …
A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework
SS Skandha, A Nicolaides, SK Gupta… - Computers in biology …, 2022 - Elsevier
Background Early and automated detection of carotid plaques prevents strokes, which are
the second leading cause of death worldwide according to the World Health Organization …
the second leading cause of death worldwide according to the World Health Organization …