دورية أكاديمية
أعرض في EDS

Artificial intelligence in cardiovascular imaging: state of the art and implications for the imaging cardiologist.

التفاصيل البيبلوغرافية
العنوان: Artificial intelligence in cardiovascular imaging: state of the art and implications for the imaging cardiologist.
المؤلفون: Siegersma KR; Department of Cardiology, location VUmc, Amsterdam University Medical Centres, Amsterdam, The Netherlands.; Department of Experimental Cardiology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands., Leiner T; Department of Radiology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands., Chew DP; Department of Cardiovascular Medicine, Flinders Medical Centre, Bedford Park, SA, Australia.; South Australian Health and Medical Research Institute, Adelaide, SA, Australia., Appelman Y; Department of Cardiology, location VUmc, Amsterdam University Medical Centres, Amsterdam, The Netherlands., Hofstra L; Department of Cardiology, location VUmc, Amsterdam University Medical Centres, Amsterdam, The Netherlands.; Cardiologie Centra Nederland, Amsterdam, The Netherlands., Verjans JW; South Australian Health and Medical Research Institute, Adelaide, SA, Australia. Johan.Verjans@SAHMRI.com.; Australian Institute for Machine Learning, University of Adelaide, Adelaide, SA, Australia. Johan.Verjans@SAHMRI.com.; Dept of Cardiology, Royal Adelaide Hospital, Adelaide, SA, Australia. Johan.Verjans@SAHMRI.com.
المصدر: Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation [Neth Heart J] 2019 Sep; Vol. 27 (9), pp. 403-413.
نوع المنشور: Journal Article; Review
اللغة: English
بيانات الدورية: Publisher: Bohn Stafleu van Loghum Country of Publication: Netherlands NLM ID: 101095458 Publication Model: Print Cited Medium: Print ISSN: 1568-5888 (Print) Linking ISSN: 15685888 NLM ISO Abbreviation: Neth Heart J Subsets: PubMed not MEDLINE
أسماء مطبوعة: Publication: Houten : Bohn Stafleu van Loghum
Original Publication: Leusden, The Netherlands : Mediselect bv, c2001-
مستخلص: Healthcare, conceivably more than any other area of human endeavour, has the greatest potential to be affected by artificial intelligence (AI). This potential has been shown by several reports that demonstrate equal or superhuman performance in medical tasks that aim to improve efficiency, diagnosis and prognosis. This review focuses on the state of the art of AI applications in cardiovascular imaging. It provides an overview of the current applications and studies performed, including the potential value, implications, limitations and future directions of AI in cardiovascular imaging.It is envisioned that AI will dramatically change the way doctors practise medicine. In the short term, it will assist physicians with easy tasks, such as automating measurements, making predictions based on big data, and putting clinical findings into an evidence-based context. In the long term, AI will not only assist doctors, it has the potential to significantly improve access to health and well-being data for patients and their caretakers. This empowers patients. From a physician's perspective, reliable AI assistance will be available to support clinical decision-making. Although cardiovascular studies implementing AI are increasing in number, the applications have only just started to penetrate contemporary clinical care.
References: J Am Coll Cardiol. 2008 Nov 18;52(21):1724-32. (PMID: 19007693)
J Nucl Cardiol. 2013 Aug;20(4):553-62. (PMID: 23703378)
Value Health. 2013 Sep-Oct;16(6 Suppl):S4-9. (PMID: 24034312)
IEEE Trans Pattern Anal Mach Intell. 2013 Nov;35(11):2592-607. (PMID: 24051722)
Nat Commun. 2014 Jun 03;5:4006. (PMID: 24892406)
Circulation. 2015 Jan 20;131(3):269-79. (PMID: 25398313)
J Nucl Cardiol. 2015 Oct;22(5):877-84. (PMID: 25480110)
IEEE Trans Med Imaging. 2015 Sep;34(9):1867-78. (PMID: 25794387)
Comput Biol Med. 2015 Jul;62:86-93. (PMID: 25912990)
Int J Cardiovasc Imaging. 2015 Aug;31(6):1149-57. (PMID: 25948160)
Appl Opt. 2015 Mar 10;54(8):C23-44. (PMID: 25968400)
J Am Coll Cardiol. 2015 Sep 29;66(13):1456-66. (PMID: 26403342)
Med Image Anal. 2016 May;30:95-107. (PMID: 26891066)
Med Image Anal. 2016 May;30:108-119. (PMID: 26917105)
Nat Rev Cardiol. 2016 Jun;13(6):350-9. (PMID: 27009423)
J Appl Physiol (1985). 2016 Jul 1;121(1):42-52. (PMID: 27079692)
Comput Biol Med. 2016 Jun 1;73:47-55. (PMID: 27082766)
Med Image Anal. 2016 Dec;34:123-136. (PMID: 27138584)
Eur Heart J. 2016 Jul 14;37(27):2129-2200. (PMID: 27206819)
Eur Heart J. 2017 Feb 14;38(7):500-507. (PMID: 27252451)
Circ Cardiovasc Imaging. 2016 Jun;9(6):. (PMID: 27266599)
Med Image Anal. 2017 Jan;35:159-171. (PMID: 27423113)
Med Image Anal. 2017 Feb;36:15-21. (PMID: 27816858)
J Am Coll Cardiol. 2016 Nov 29;68(21):2287-2295. (PMID: 27884247)
Radiology. 2017 May;283(2):381-390. (PMID: 28092203)
Med Phys. 2017 Mar;44(3):1040-1049. (PMID: 28112409)
IEEE J Biomed Health Inform. 2017 Nov;21(6):1719-1729. (PMID: 28287993)
J Nucl Cardiol. 2018 Feb;25(1):223-233. (PMID: 28303473)
Int J Cardiovasc Imaging. 2017 Aug;33(8):1159-1167. (PMID: 28321681)
Med Image Anal. 2017 Jul;39:78-86. (PMID: 28437634)
J Am Coll Cardiol. 2017 May 30;69(21):2657-2664. (PMID: 28545640)
IEEE Trans Med Imaging. 2017 Dec;36(12):2536-2545. (PMID: 28574346)
Int J Cardiovasc Imaging. 2018 Feb;34(2):281-291. (PMID: 28836039)
Radiology. 2018 Jan;286(1):103-112. (PMID: 28836886)
J Am Soc Echocardiogr. 2017 Nov;30(11):1049-1058. (PMID: 28916243)
Eur J Nucl Med Mol Imaging. 2017 Dec;44(13):2280-2289. (PMID: 28948350)
JACC Cardiovasc Imaging. 2018 Jul;11(7):1000-1009. (PMID: 29055639)
Am J Cardiol. 2017 Dec 15;120(12):2121-2127. (PMID: 29102036)
Am J Med. 2018 Feb;131(2):129-133. (PMID: 29126825)
Med Image Anal. 2018 Feb;44:72-85. (PMID: 29197253)
Circ Cardiovasc Imaging. 2017 Dec;10(12):null. (PMID: 29233836)
Eur Radiol. 2018 Jun;28(6):2655-2664. (PMID: 29352380)
Invest Radiol. 2018 Jun;53(6):338-343. (PMID: 29420321)
Eur J Nucl Med Mol Imaging. 2018 Jul;45(7):1091-1100. (PMID: 29470616)
Ann Nucl Med. 2018 Jun;32(5):303-310. (PMID: 29516390)
JAMA. 2018 Mar 13;319(10):1024-1039. (PMID: 29536101)
Eur Heart J Cardiovasc Imaging. 2018 Jul 1;19(7):730-738. (PMID: 29538684)
J Nucl Cardiol. 2018 Mar 14;:. (PMID: 29542015)
Nature. 2018 Mar 15;555(7696):285. (PMID: 29542717)
JACC Cardiovasc Imaging. 2018 Nov;11(11):1654-1663. (PMID: 29550305)
J Cardiovasc Comput Tomogr. 2018 May - Jun;12(3):204-209. (PMID: 29753765)
J Nucl Cardiol. 2018 May 22;:null. (PMID: 29790017)
Circ Cardiovasc Imaging. 2018 Jun;11(6):e007217. (PMID: 29914866)
IEEE Trans Med Imaging. 2018 Sep;37(9):2137-2148. (PMID: 29994087)
J Am Soc Echocardiogr. 2018 Dec;31(12):1272-1284.e9. (PMID: 30146187)
JAMA. 2018 Sep 18;320(11):1101-1102. (PMID: 30178065)
J Cardiovasc Magn Reson. 2018 Sep 14;20(1):65. (PMID: 30217194)
J Med Syst. 2018 Sep 25;42(11):209. (PMID: 30255347)
Eur J Heart Fail. 2019 Jan;21(1):74-85. (PMID: 30328654)
Circulation. 2018 Oct 16;138(16):1623-1635. (PMID: 30354459)
IEEE Trans Med Imaging. 2019 Jul;38(7):1588-1598. (PMID: 30507498)
J Cardiovasc Magn Reson. 2019 Jan 7;21(1):1. (PMID: 30612574)
NPJ Digit Med. 2018;1:null. (PMID: 30828647)
Circulation. 1996 Apr 1;93(7):1321-7. (PMID: 8641018)
معلومات مُعتمدة: 2018B07 Hartstichting
فهرسة مساهمة: Keywords: Artificial intelligence; Cardiac imaging techniques; Clinical decision-making; Machine learning; Medical imaging
تواريخ الأحداث: Date Created: 20190811 Latest Revision: 20200930
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC6712136
DOI: 10.1007/s12471-019-01311-1
PMID: 31399886
قاعدة البيانات: MEDLINE
الوصف
تدمد:1568-5888
DOI:10.1007/s12471-019-01311-1