Literature DB >> 24229773

Intelligent platforms for disease assessment: novel approaches in functional echocardiography.

Partho P Sengupta1.   

Abstract

Accelerating trends in the dynamic digital era (from 2004 onward) has resulted in the emergence of novel parametric imaging tools that allow easy and accurate extraction of quantitative information from cardiac images. This review principally attempts to heighten the awareness of newer emerging paradigms that may advance acquisition, visualization and interpretation of the large functional data sets obtained during cardiac ultrasound imaging. Incorporation of innovative cognitive software that allow advanced pattern recognition and disease forecasting will likely transform the human-machine interface and interpretation process to achieve a more efficient and effective work environment. Novel technologies for automation and big data analytics that are already active in other fields need to be rapidly adapted to the health care environment with new academic-industry collaborations to enrich and accelerate the delivery of newer decision making tools for enhancing patient care.
Copyright © 2013. Published by Elsevier Inc.

Entities:  

Keywords:  big data; cognitive computing; echocardiography; parametric imaging; robotics

Mesh:

Year:  2013        PMID: 24229773     DOI: 10.1016/j.jcmg.2013.09.003

Source DB:  PubMed          Journal:  JACC Cardiovasc Imaging        ISSN: 1876-7591


  4 in total

1.  Cognitive Machine-Learning Algorithm for Cardiac Imaging: A Pilot Study for Differentiating Constrictive Pericarditis From Restrictive Cardiomyopathy.

Authors:  Partho P Sengupta; Yen-Min Huang; Manish Bansal; Ali Ashrafi; Matt Fisher; Khader Shameer; Walt Gall; Joel T Dudley
Journal:  Circ Cardiovasc Imaging       Date:  2016-06       Impact factor: 7.792

Review 2.  Challenges and Opportunities of Big Data in Health Care: A Systematic Review.

Authors:  Clemens Scott Kruse; Rishi Goswamy; Yesha Raval; Sarah Marawi
Journal:  JMIR Med Inform       Date:  2016-11-21

Review 3.  Machine Learning and the Future of Cardiovascular Care: JACC State-of-the-Art Review.

Authors:  Giorgio Quer; Ramy Arnaout; Michael Henne; Rima Arnaout
Journal:  J Am Coll Cardiol       Date:  2021-01-26       Impact factor: 24.094

4.  An Ontology-Driven Approach for Integrating Intelligence to Manage Human and Ecological Health Risks in the Geospatial Sensor Web.

Authors:  Xiaoliang Meng; Feng Wang; Yichun Xie; Guoqiang Song; Shifa Ma; Shiyuan Hu; Junming Bai; Yiming Yang
Journal:  Sensors (Basel)       Date:  2018-10-25       Impact factor: 3.576

  4 in total

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