Literature DB >> 32567669

Artificial intelligence and automation in valvular heart diseases.

Qiang Long1, Xiaofeng Ye2, Qiang Zhao2.   

Abstract

Artificial intelligence (AI) is gradually changing every aspect of social life, and healthcare is no exception. The clinical procedures that were supposed to, and could previously only be handled by human experts can now be carried out by machines in a more accurate and efficient way. The coming era of big data and the advent of supercomputers provides great opportunities to the development of AI technology for the enhancement of diagnosis and clinical decision-making. This review provides an introduction to AI and highlights its applications in the clinical flow of diagnosing and treating valvular heart diseases (VHDs). More specifically, this review first introduces some key concepts and subareas in AI. Secondly, it discusses the application of AI in heart sound auscultation and medical image analysis for assistance in diagnosing VHDs. Thirdly, it introduces using AI algorithms to identify risk factors and predict mortality of cardiac surgery. This review also describes the state-of-the-art autonomous surgical robots and their roles in cardiac surgery and intervention.

Entities:  

Keywords:  artificial intelligence; machine learning; medical image analysis; transcathether aortic valve implantation; valvular heart diseases

Year:  2020        PMID: 32567669      PMCID: PMC8016001          DOI: 10.5603/CJ.a2020.0087

Source DB:  PubMed          Journal:  Cardiol J        ISSN: 1898-018X            Impact factor:   2.737


  74 in total

1.  Efficacy and Accuracy of Novel Automated Mitral Valve Quantification: Three-Dimensional Transesophageal Echocardiographic Study.

Authors:  Nobuyuki Kagiyama; Misako Toki; Masahiko Hara; Shuichiro Fukuda; Shingo Aritaka; Tomonori Miki; Minako Ohara; Akihiro Hayashida; Atsushi Hirohata; Keizo Yamamoto; Kiyoshi Yoshida
Journal:  Echocardiography       Date:  2015-12-13       Impact factor: 1.724

2.  Segmentation of heart sound recordings by a duration-dependent hidden Markov model.

Authors:  S E Schmidt; C Holst-Hansen; C Graff; E Toft; J J Struijk
Journal:  Physiol Meas       Date:  2010-03-05       Impact factor: 2.833

3.  Artificial intelligence in medicine. Where do we stand?

Authors:  W B Schwartz; R S Patil; P Szolovits
Journal:  N Engl J Med       Date:  1987-03-12       Impact factor: 91.245

4.  Machine Learning Prediction Models for In-Hospital Mortality After Transcatheter Aortic Valve Replacement.

Authors:  Dagmar F Hernandez-Suarez; Yeunjung Kim; Pedro Villablanca; Tanush Gupta; Jose Wiley; Brenda G Nieves-Rodriguez; Jovaniel Rodriguez-Maldonado; Roberto Feliu Maldonado; Istoni da Luz Sant'Ana; Cristina Sanina; Pedro Cox-Alomar; Harish Ramakrishna; Angel Lopez-Candales; William W O'Neill; Duane S Pinto; Azeem Latib; Abiel Roche-Lima
Journal:  JACC Cardiovasc Interv       Date:  2019-07-22       Impact factor: 11.195

5.  Autonomous Robotic Intracardiac Catheter Navigation Using Haptic Vision.

Authors:  G Fagogenis; M Mencattelli; Z Machaidze; B Rosa; K Price; F Wu; V Weixler; M Saeed; J E Mayer; P E Dupont
Journal:  Sci Robot       Date:  2019-04-24

6.  A method for automating 3-dimensional proximal isovelocity surface area measurement.

Authors:  Frederick C Cobey; Jennifer A McInnis; Brian J Gelfand; Mark A Rapo; Michael N D'Ambra
Journal:  J Cardiothorac Vasc Anesth       Date:  2012-02-09       Impact factor: 2.628

7.  Accuracy of a mitral valve segmentation method using J-splines for real-time 3D echocardiography data.

Authors:  Andrew W Siefert; David A Icenogle; Jean-Pierre M Rabbah; Neelakantan Saikrishnan; Jarek Rossignac; Stamatios Lerakis; Ajit P Yoganathan
Journal:  Ann Biomed Eng       Date:  2013-03-05       Impact factor: 3.934

Review 8.  High-performance medicine: the convergence of human and artificial intelligence.

Authors:  Eric J Topol
Journal:  Nat Med       Date:  2019-01-07       Impact factor: 53.440

9.  A Comparison of a Machine Learning Model with EuroSCORE II in Predicting Mortality after Elective Cardiac Surgery: A Decision Curve Analysis.

Authors:  Jérôme Allyn; Nicolas Allou; Pascal Augustin; Ivan Philip; Olivier Martinet; Myriem Belghiti; Sophie Provenchere; Philippe Montravers; Cyril Ferdynus
Journal:  PLoS One       Date:  2017-01-06       Impact factor: 3.240

10.  Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequences.

Authors:  Jason A Fries; Paroma Varma; Vincent S Chen; Ke Xiao; Heliodoro Tejeda; Priyanka Saha; Jared Dunnmon; Henry Chubb; Shiraz Maskatia; Madalina Fiterau; Scott Delp; Euan Ashley; Christopher Ré; James R Priest
Journal:  Nat Commun       Date:  2019-07-15       Impact factor: 14.919

View more
  1 in total

Review 1.  Artificial intelligence for the echocardiographic assessment of valvular heart disease.

Authors:  Rashmi Nedadur; Bo Wang; Wendy Tsang
Journal:  Heart       Date:  2022-09-26       Impact factor: 7.365

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.