Literature DB >> 35481866

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

Zvonimir Krajcer1,2.   

Abstract

Artificial intelligence and machine learning are rapidly gaining popularity in every aspect of our daily lives, and cardiovascular medicine is no exception. Here, we provide physicians with an overview of the past, present, and future of artificial intelligence applications in cardiovascular medicine. We describe essential and powerful examples of machine-learning applications in industry and elsewhere. Finally, we discuss the latest technologic advances, as well as the benefits and limitations of artificial intelligence and machine learning in cardiovascular medicine.
© 2022 by the Texas Heart® Institute, Houston.

Entities:  

Keywords:  Algorithms; artificial intelligence; cardiac imaging techniques/methods; cardiology/trends; cardiovascular diseases; data mining; deep learning; diagnosis, computer-assisted; echocardiography; image interpretation, computer-assisted; imaging, three-dimensional; machine learning; review

Mesh:

Year:  2022        PMID: 35481866      PMCID: PMC9053657          DOI: 10.14503/THIJ-20-7527

Source DB:  PubMed          Journal:  Tex Heart Inst J        ISSN: 0730-2347


  20 in total

1.  The perceptron: a probabilistic model for information storage and organization in the brain.

Authors:  F ROSENBLATT
Journal:  Psychol Rev       Date:  1958-11       Impact factor: 8.934

Review 2.  Artificial Intelligence in Cardiology.

Authors:  Kipp W Johnson; Jessica Torres Soto; Benjamin S Glicksberg; Khader Shameer; Riccardo Miotto; Mohsin Ali; Euan Ashley; Joel T Dudley
Journal:  J Am Coll Cardiol       Date:  2018-06-12       Impact factor: 24.094

Review 3.  Applications of artificial intelligence in multimodality cardiovascular imaging: A state-of-the-art review.

Authors:  Bo Xu; Duygu Kocyigit; Brian P Griffin; Feixiong Cheng
Journal:  Prog Cardiovasc Dis       Date:  2020-03-19       Impact factor: 8.194

Review 4.  Artificial Intelligence and Machine Learning in Cardiovascular Health Care.

Authors:  Arman Kilic
Journal:  Ann Thorac Surg       Date:  2019-11-07       Impact factor: 4.330

5.  New holographic process provides noninvasive, 3-D anatomic views.

Authors:  A A Skolnick
Journal:  JAMA       Date:  1994-01-05       Impact factor: 56.272

6.  Comparison of Coronary Computed Tomography Angiography, Fractional Flow Reserve, and Perfusion Imaging for Ischemia Diagnosis.

Authors:  Roel S Driessen; Ibrahim Danad; Wijnand J Stuijfzand; Pieter G Raijmakers; Stefan P Schumacher; Pepijn A van Diemen; Jonathon A Leipsic; Juhani Knuuti; S Richard Underwood; Peter M van de Ven; Albert C van Rossum; Charles A Taylor; Paul Knaapen
Journal:  J Am Coll Cardiol       Date:  2019-01-22       Impact factor: 24.094

7.  Automated analysis of retinal images for detection of referable diabetic retinopathy.

Authors:  Michael D Abràmoff; James C Folk; Dennis P Han; Jonathan D Walker; David F Williams; Stephen R Russell; Pascale Massin; Beatrice Cochener; Philippe Gain; Li Tang; Mathieu Lamard; Daniela C Moga; Gwénolé Quellec; Meindert Niemeijer
Journal:  JAMA Ophthalmol       Date:  2013-03       Impact factor: 7.389

Review 8.  Extended Reality in Medical Education: Driving Adoption through Provider-Centered Design.

Authors:  Sarah M Zweifach; Marc M Triola
Journal:  Digit Biomark       Date:  2019-04-10

Review 9.  The application of big data to cardiovascular disease: paths to precision medicine.

Authors:  Jane A Leopold; Bradley A Maron; Joseph Loscalzo
Journal:  J Clin Invest       Date:  2020-01-02       Impact factor: 14.808

10.  Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists.

Authors:  Pranav Rajpurkar; Jeremy Irvin; Robyn L Ball; Kaylie Zhu; Brandon Yang; Hershel Mehta; Tony Duan; Daisy Ding; Aarti Bagul; Curtis P Langlotz; Bhavik N Patel; Kristen W Yeom; Katie Shpanskaya; Francis G Blankenberg; Jayne Seekins; Timothy J Amrhein; David A Mong; Safwan S Halabi; Evan J Zucker; Andrew Y Ng; Matthew P Lungren
Journal:  PLoS Med       Date:  2018-11-20       Impact factor: 11.069

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.