UltraAIGenomics: Artificial Intelligence-Based Cardiovascular Disease Risk Assessment by Fusion of Ultrasound-Based Radiomics and Genomics Features for Preventive, Personalized and Precision Medicine: A Narrative Review

Saba Luca and Maindarkar Mahesh and Johri Amer M. and Mantella Laura and Laird John R. and Khanna Narendra N. and Paraskevas Kosmas I. and Ruzsa Zoltán and Kalra Manudeep K. and Fernandes Jose Fernandes E and Chaturvedi Seemant and Nicolaides Andrew and Rathore Vijay and Singh Narpinder and Isenovic Esma R. and Viswanathan Vijay and Fouda Mostafa M. and Suri Jasjit S.: UltraAIGenomics: Artificial Intelligence-Based Cardiovascular Disease Risk Assessment by Fusion of Ultrasound-Based Radiomics and Genomics Features for Preventive, Personalized and Precision Medicine: A Narrative Review.
REVIEWS IN CARDIOVASCULAR MEDICINE, 25 (5). ISSN 1530-6550 (2024)

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Creators:
Saba Luca
Maindarkar Mahesh
Johri Amer M.
Mantella Laura
Laird John R.
Khanna Narendra N.
Paraskevas Kosmas I.
Ruzsa Zoltán MTMT
Kalra Manudeep K.
Fernandes Jose Fernandes E
Chaturvedi Seemant
Nicolaides Andrew
Rathore Vijay
Singh Narpinder
Isenovic Esma R.
Viswanathan Vijay
Fouda Mostafa M.
Suri Jasjit S.
Item Type: Journal Article
Journal or Publication Title: REVIEWS IN CARDIOVASCULAR MEDICINE
Date: 2024
Volume: 25
Number: 5
Number of Pages: 27
Publication identifier: 184
ISSN: 1530-6550
Faculty/Unit: Albert Szent-Györgyi Medical School
Institution: University of Szeged (2000-)
Language: English
MTMT rekordazonosító: 34877464
DOI azonosító: https://doi.org/10.31083/j.rcm2505184
Date Deposited: 2024. May. 28. 08:26
Last Modified: 2024. May. 28. 08:26
URI: http://publicatio.bibl.u-szeged.hu/id/eprint/31976
Web of Science® Times Cited: 3 View citing articles in Web of Science®

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