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A Pharmaceutical Paradigm for Cardiovascular Composite Risk Assessment Using Novel Radiogenomics Risk Predictors in Precision Explainable Artificial Intelligence Framework: Clinical Trial Tool
12
Zitationen
19
Autoren
2023
Jahr
Abstract
Our observations suggest that the composite CVD risk biomarkers using radiogenomics provide a new dimension to CVD/Stroke risk assessment. The proposed review suggests a unique, unbiased, and XAI model based on AtheroEdgeTM 4.0 that can predict the composite risk of CVD/Stroke using radiogenomics in the pharmaceutical paradigm.
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Autoren
- Luca Saba
- Mahesh Maindarkar
- Narendra N. Khanna
- Amer M. Johri
- Laura E. Mantella
- John R. Laird
- Kosmas I. Paraskevas
- Zoltán Ruzsa
- Manudeep K. Kalra
- José Fernandes e Fernandes
- Seemant Chaturvedi
- Andrew Nicolaides
- Vijay Rathore
- Narpinder Singh
- Mostafa M. Fouda
- Esma R. Isenović
- Mustafa Al-Maini
- Vijay Viswanathan
- Jasjit S. Suri
Institutionen
- Azienda Ospedaliero-Universitaria Cagliari(IT)
- MIT Art, Design and Technology University(IN)
- Queen's University(CA)
- University of Toronto(CA)
- St. Helena Hospital(US)
- University of Szeged(HU)
- Harvard University(US)
- University of Lisbon(PT)
- University of Maryland, Baltimore(US)
- University of Nicosia(CY)
- Kaiser Permanente(US)
- Graphic Era University(IN)
- Idaho State University(US)
- University of Belgrade(RS)
- M.V. Hospital for Diabetes and Diabetes Research Centre(IN)