Literature DB >> 31611150

Applications of Artificial Intelligence in Cardiology. The Future is Already Here.

P Ignacio Dorado-Díaz1, Jesús Sampedro-Gómez1, Víctor Vicente-Palacios2, Pedro L Sánchez3.   

Abstract

There is currently no other hot topic like the ability of current technology to develop capabilities similar to those of human beings, even in medicine. This ability to simulate the processes of human intelligence with computer systems is known as artificial intelligence (AI). This article aims to clarify the various terms that still sound foreign to us, such as AI, machine learning (ML), deep learning (DL), and big data. It also provides an in-depth description of the concept of AI and its types; the learning techniques and technology used by ML; cardiac imaging analysis with DL; and the contribution of this technological revolution to classical statistics, as well as its current limitations, legal aspects, and initial applications in cardiology. To do this, we conducted a detailed PubMed search on the evolution of original contributions on AI to the various areas of application in cardiology in the last 5 years and identified 673 research articles. We provide 19 detailed examples from distinct areas of cardiology that, by using AI, have shown diagnostic and therapeutic improvements, and which will aid understanding of ML and DL methodology.
Copyright © 2019 Sociedad Española de Cardiología. Published by Elsevier España, S.L.U. All rights reserved.

Entities:  

Keywords:  Artificial intelligence; Cardiology; Cardiología; Deep learning; Inteligencia artificial; Machine learning

Mesh:

Year:  2019        PMID: 31611150     DOI: 10.1016/j.rec.2019.05.014

Source DB:  PubMed          Journal:  Rev Esp Cardiol (Engl Ed)        ISSN: 1885-5857


  12 in total

1.  Artificial intelligence opportunities in cardio-oncology: Overview with spotlight on electrocardiography.

Authors:  Daniel Sierra-Lara Martinez; Peter A Noseworthy; Oguz Akbilgic; Joerg Herrmann; Kathryn J Ruddy; Abdulaziz Hamid; Ragasnehith Maddula; Ashima Singh; Robert Davis; Fatma Gunturkun; John L Jefferies; Sherry-Ann Brown
Journal:  Am Heart J Plus       Date:  2022-04-01

2.  Artificial Intelligence in Cardiovascular Medicine: Historical Overview, Current Status, and Future Directions.

Authors:  Zvonimir Krajcer
Journal:  Tex Heart Inst J       Date:  2022-03-01

3.  Using Machine Learning Techniques to Predict MACE in Very Young Acute Coronary Syndrome Patients.

Authors:  Pablo Juan-Salvadores; Cesar Veiga; Víctor Alfonso Jiménez Díaz; Alba Guitián González; Cristina Iglesia Carreño; Cristina Martínez Reglero; José Antonio Baz Alonso; Francisco Caamaño Isorna; Andrés Iñiguez Romo
Journal:  Diagnostics (Basel)       Date:  2022-02-06

4.  Development of a severity of disease score and classification model by machine learning for hospitalized COVID-19 patients.

Authors:  Miguel Marcos; Moncef Belhassen-García; Antonio Sánchez-Puente; Jesús Sampedro-Gomez; Raúl Azibeiro; Pedro-Ignacio Dorado-Díaz; Edgar Marcano-Millán; Carolina García-Vidal; María-Teresa Moreiro-Barroso; Noelia Cubino-Bóveda; María-Luisa Pérez-García; Beatriz Rodríguez-Alonso; Daniel Encinas-Sánchez; Sonia Peña-Balbuena; Eduardo Sobejano-Fuertes; Sandra Inés; Cristina Carbonell; Miriam López-Parra; Fernanda Andrade-Meira; Amparo López-Bernús; Catalina Lorenzo; Adela Carpio; David Polo-San-Ricardo; Miguel-Vicente Sánchez-Hernández; Rafael Borrás; Víctor Sagredo-Meneses; Pedro-Luis Sanchez; Alex Soriano; José-Ángel Martín-Oterino
Journal:  PLoS One       Date:  2021-04-21       Impact factor: 3.240

5.  Reporting of screening and diagnostic AI rarely acknowledges ethical, legal, and social implications: a mass media frame analysis.

Authors:  Emma K Frost; Stacy M Carter
Journal:  BMC Med Inform Decis Mak       Date:  2020-12-10       Impact factor: 2.796

6.  Development and internal validation of machine learning algorithms to predict patient satisfaction after total hip arthroplasty.

Authors:  Siyuan Zhang; Jerry Yongqiang Chen; Hee Nee Pang; Ngai Nung Lo; Seng Jin Yeo; Ming Han Lincoln Liow
Journal:  Arthroplasty       Date:  2021-09-02

7.  Artificial Intelligence-Based Echocardiographic Left Atrial Volume Measurement with Pulmonary Vein Comparison.

Authors:  Mengyun Zhu; Ximin Fan; Weijing Liu; Jianying Shen; Wei Chen; Yawei Xu; Xuejing Yu
Journal:  J Healthc Eng       Date:  2021-12-06       Impact factor: 2.682

8.  Accurate deep neural network model to detect cardiac arrhythmia on more than 10,000 individual subject ECG records.

Authors:  Ozal Yildirim; Muhammed Talo; Edward J Ciaccio; Ru San Tan; U Rajendra Acharya
Journal:  Comput Methods Programs Biomed       Date:  2020-09-08       Impact factor: 5.428

Review 9.  Artificial Intelligence Advances in the World of Cardiovascular Imaging.

Authors:  Bhakti Patel; Amgad N Makaryus
Journal:  Healthcare (Basel)       Date:  2022-01-14

10.  Initial application of deep learning to borescope detection of endoscope working channel damage and residue.

Authors:  Monique T Barakat; Mohit Girotra; Subhas Banerjee
Journal:  Endosc Int Open       Date:  2022-01-14
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