Literature DB >> 29923100

The machine learning approach: Artificial intelligence is coming to support critical clinical thinking.

Carmela Nappi1, Alberto Cuocolo2.   

Abstract

Year:  2018        PMID： 29923100     DOI： 10.1007/s12350-018-1344-2

Source DB:  PubMed          Journal:  J Nucl Cardiol        ISSN： 1071-3581            Impact factor:   5.952


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  18 in total

1.  Long-term prognostic value of stress myocardial perfusion imaging and coronary computed tomography angiography: A meta-analysis.

Authors:  Valeria Cantoni; Roberta Green; Wanda Acampa; Mario Petretta; Domenico Bonaduce; Marco Salvatore; Alberto Cuocolo
Journal:  J Nucl Cardiol       Date:  2016-01-12       Impact factor: 5.952

2.  Machine learning in the integration of simple variables for identifying patients with myocardial ischemia.

Authors:  Luis Eduardo Juarez-Orozco; Remco J J Knol; Carlos A Sanchez-Catasus; Octavio Martinez-Manzanera; Friso M van der Zant; Juhani Knuuti
Journal:  J Nucl Cardiol       Date:  2018-05-22       Impact factor: 5.952

3.  Negative predictive value of stress myocardial perfusion imaging and coronary computed tomography angiography: A meta-analysis.

Authors:  Roberta Green; Valeria Cantoni; Mario Petretta; Wanda Acampa; Mariarosaria Panico; Pietro Buongiorno; Giorgio Punzo; Marco Salvatore; Alberto Cuocolo
Journal:  J Nucl Cardiol       Date:  2017-02-15       Impact factor: 5.952

4.  Comparison of left ventricular shape by gated SPECT imaging in diabetic and nondiabetic patients with normal myocardial perfusion: A propensity score analysis.

Authors:  Carmela Nappi; Valeria Gaudieri; Wanda Acampa; Roberta Assante; Emilia Zampella; Ciro Gabriele Mainolfi; Mario Petretta; Guido Germano; Alberto Cuocolo
Journal:  J Nucl Cardiol       Date:  2017-08-14       Impact factor: 5.952

Review 5.  Machine learning in cardiac CT: Basic concepts and contemporary data.

Authors:  Gurpreet Singh; Subhi J Al'Aref; Marly Van Assen; Timothy Suyong Kim; Alexander van Rosendael; Kranthi K Kolli; Aeshita Dwivedi; Gabriel Maliakal; Mohit Pandey; Jing Wang; Virginie Do; Manasa Gummalla; Carlo N De Cecco; James K Min
Journal:  J Cardiovasc Comput Tomogr       Date:  2018-04-30

6.  Quantitative relationship between coronary artery calcium and myocardial blood flow by hybrid rubidium-82 PET/CT imaging in patients with suspected coronary artery disease.

Authors:  Roberta Assante; Emilia Zampella; Parthiban Arumugam; Wanda Acampa; Massimo Imbriaco; Deborah Tout; Mario Petretta; Christine Tonge; Alberto Cuocolo
Journal:  J Nucl Cardiol       Date:  2016-01-15       Impact factor: 5.952

7.  Incremental role of resting myocardial computed tomography perfusion for predicting physiologically significant coronary artery disease: A machine learning approach.

Authors:  Donghee Han; Ji Hyun Lee; Asim Rizvi; Heidi Gransar; Lohendran Baskaran; Joshua Schulman-Marcus; Bríain Ó Hartaigh; Fay Y Lin; James K Min
Journal:  J Nucl Cardiol       Date:  2017-03-16       Impact factor: 5.952

8.  Prediction of revascularization after myocardial perfusion SPECT by machine learning in a large population.

Authors:  Reza Arsanjani; Damini Dey; Tigran Khachatryan; Aryeh Shalev; Sean W Hayes; Mathews Fish; Rine Nakanishi; Guido Germano; Daniel S Berman; Piotr Slomka
Journal:  J Nucl Cardiol       Date:  2014-12-06       Impact factor: 5.952

Review 9.  Machine Learning in Medicine.

Authors:  Rahul C Deo
Journal:  Circulation       Date:  2015-11-17       Impact factor: 29.690

10.  Prognostic Value of Combined Clinical and Myocardial Perfusion Imaging Data Using Machine Learning.

Authors:  Julian Betancur; Yuka Otaki; Manish Motwani; Mathews B Fish; Mark Lemley; Damini Dey; Heidi Gransar; Balaji Tamarappoo; Guido Germano; Tali Sharir; Daniel S Berman; Piotr J Slomka
Journal:  JACC Cardiovasc Imaging       Date:  2017-10-18
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  3 in total

1.  "Global" cardiac atherosclerotic burden assessed by artificial intelligence-based versus manual segmentation in 18F-sodium fluoride PET/CT scans: Head-to-head comparison.

Authors:  Reza Piri; Lars Edenbrandt; Måns Larsson; Olof Enqvist; Sofie Skovrup; Kasper Karmark Iversen; Babak Saboury; Abass Alavi; Oke Gerke; Poul Flemming Høilund-Carlsen
Journal:  J Nucl Cardiol       Date:  2021-08-12       Impact factor: 3.872

2.  A methodological framework for AI-assisted diagnosis of active aortitis using radiomic analysis of FDG PET-CT images: Initial analysis.

Authors:  Lisa Duff; Andrew F Scarsbrook; Sarah L Mackie; Russell Frood; Marc Bailey; Ann W Morgan; Charalampos Tsoumpas
Journal:  J Nucl Cardiol       Date:  2022-03-23       Impact factor: 5.952

3.  Nuclear cardiac imaging between implementation and globalization: The key role of integration.

Authors:  Alberto Cuocolo; Carmela Nappi; Wanda Acampa; Mario Petretta
Journal:  J Nucl Cardiol       Date:  2021-04-30       Impact factor: 5.952
  3 in total

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