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Volumn 16, Issue 1, 2014, Pages

Artificial intelligence in medicine and cardiac imaging: Harnessing big data and advanced computing to provide personalized medical diagnosis and treatment

Author keywords

Artificial intelligence; Big data; Cardiac imaging; Electronic health records; IBM's Watson; Neural networks; Personalized medicine

Indexed keywords

ACCESS TO INFORMATION; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; CARDIAC IMAGING; DECISION SUPPORT SYSTEM; DOCTOR PATIENT RELATION; ELECTRONIC MEDICAL RECORD; EVIDENCE BASED MEDICINE; FACTUAL DATABASE; HEALTH CARE COST; HEALTH CARE DELIVERY; HUMAN; IMAGE PROCESSING; MACHINE LEARNING; MEDICAL INFORMATICS; PATIENT INFORMATION; PERSONALIZED MEDICINE; POSITRON EMISSION TOMOGRAPHY; SINGLE PHOTON EMISSION COMPUTER TOMOGRAPHY; MASS COMMUNICATION; METHODOLOGY; REVIEW;

EID: 84889810890     PISSN: 15233782     EISSN: 15343170     Source Type: Journal    
DOI: 10.1007/s11886-013-0441-8     Document Type: Article
Times cited : (374)

References (19)
  • 1
    • 84884602537 scopus 로고    scopus 로고
    • Cognitive and system factors contributing to diagnostic errors in radiology
    • 10.2214/AJR.12.10375 This article provides an excellent overview of the types of diagnostic errors made by radiologists in the interpretation of imaging studies including common biases
    • • Lee CS, Nagy PG, Weaver SJ, Newman-Token DE. Cognitive and system factors contributing to diagnostic errors in radiology. Am J Roentgenol. 2013;201:611-7. This article provides an excellent overview of the types of diagnostic errors made by radiologists in the interpretation of imaging studies including common biases.
    • (2013) Am J Roentgenol , vol.201 , pp. 611-617
    • Lee, C.S.1    Nagy, P.G.2    Weaver, S.J.3    Newman-Token, D.E.4
  • 2
    • 23044450704 scopus 로고    scopus 로고
    • Diagnostic error in internal medicine
    • 16009864 10.1001/archinte.165.13.1493
    • Graber ML, Franklin N, Gordon R. Diagnostic error in internal medicine. Arch Intern Med. 2005;165:1493-9.
    • (2005) Arch Intern Med , vol.165 , pp. 1493-1499
    • Graber, M.L.1    Franklin, N.2    Gordon, R.3
  • 5
    • 84871938838 scopus 로고    scopus 로고
    • Diagnostic errors in the intensive care unit: A systematic review of autopsy studies
    • 22822241 10.1136/bmjqs-2012-000803
    • Winters B, Custer J, Calvagno Jr SM, et al. Diagnostic errors in the intensive care unit: a systematic review of autopsy studies. BMJ Qual Saf. 2012;21:894-902.
    • (2012) BMJ Qual Saf. , vol.21 , pp. 894-902
    • Winters, B.1    Custer, J.2    Calvagno, Jr.S.M.3
  • 7
    • 64549138950 scopus 로고    scopus 로고
    • The coming age of artificial intelligence in medicine
    • 2752210 18790621 10.1016/j.artmed.2008.07.017 This paper provides an overview of a panel discussion at the Artificial Intelligence in Medicine Europe conference in July 2007 focusing on predictions of the coming of age of AI in the 1990's that did not materialize and research and experience during the subsequent years. Topics included clinical decision support, dealing with uncertainty, systems integration, and modeling of expertise
    • •• Patel VL, Shortliffe EH, Stefanelli M, et al. The coming age of artificial intelligence in medicine. Artif Intell Med. 2009;46:5-17. This paper provides an overview of a panel discussion at the Artificial Intelligence in Medicine Europe conference in July 2007 focusing on predictions of the coming of age of AI in the 1990's that did not materialize and research and experience during the subsequent years. Topics included clinical decision support, dealing with uncertainty, systems integration, and modeling of expertise.
    • (2009) Artif Intell Med , vol.46 , pp. 5-17
    • Patel, V.L.1    Shortliffe, E.H.2    Stefanelli, M.3
  • 8
    • 84893682127 scopus 로고    scopus 로고
    • IBM Watson. How to build your own Watson Jr. in your basement
    • February 18, 2011
    • Pearson T. IBM Watson. How to build your own "Watson Jr." in your basement. IBM Developer Works blog. February 18, 2011. Available at: https://www.ibm.com/developerworks/mydeveloperworks/blogs/InsideSystemStorage/ entry/ibm-watson-how-to-build-your-own-watson-jr-in-your-basement7?lang=en. Accessed September 30, 2013.
    • IBM Developer Works Blog
    • Pearson, T.1
  • 9
    • 0032905809 scopus 로고    scopus 로고
    • Time and the patient-physician relationship
    • 1496869 9933493 10.1046/j.1525-1497.1999.00263.x
    • Dugdale DC, Epstein R, Pantilat SZ. Time and the patient-physician relationship. J Gen Intern Med. 1999;14 Suppl 1:S34-40.
    • (1999) J Gen Intern Med , vol.14 , Issue.SUPPL. 1 , pp. 34-40
    • Dugdale, D.C.1    Epstein, R.2    Pantilat, S.Z.3
  • 10
    • 84893698775 scopus 로고    scopus 로고
    • An introduction to clinical decision support for cardiology
    • Accessed September 29, 2013
    • Fornell D. An introduction to clinical decision support for cardiology. Diagn Intervent Cardiol. 2013. Available at: www.dicardiology.com/article/ introduction-clinical-decision-support-cardiology. Accessed September 29, 2013.
    • (2013) Diagn Intervent Cardiol
    • Fornell, D.1
  • 11
    • 84880044625 scopus 로고    scopus 로고
    • The use of a learning community and online evaluation of utilization for SPECT myocardial perfusion imaging
    • 10.1016/j.jcmg.2013.01.012
    • Saifi S, Taylor AJ, Allen H, Hendel R. The use of a learning community and online evaluation of utilization for SPECT myocardial perfusion imaging. J Am Coll Cardiol Imaging. 2013;6:823-9.
    • (2013) J Am Coll Cardiol Imaging. , vol.6 , pp. 823-829
    • Saifi, S.1    Taylor, A.J.2    Allen, H.3    Hendel, R.4
  • 12
    • 0024395379 scopus 로고
    • Three-dimensional techniques and artificial intelligence in thallium-201 cardiac imaging cardiac imaging
    • 1:STN:280:DyaL1M3ksVGisw%3D%3D 10.2214/ajr.152.6.1161
    • DePuey GE, Garcia EV, Ezquerra NF. Three-dimensional techniques and artificial intelligence in thallium-201 cardiac imaging cardiac imaging. Am J Roentgenol. 1989;152:1161-8.
    • (1989) Am J Roentgenol , vol.152 , pp. 1161-1168
    • Depuey, G.E.1    Garcia, E.V.2    Ezquerra, N.F.3
  • 13
    • 0030220679 scopus 로고    scopus 로고
    • Artificial neural networks: Current status in cardiovascular medicine
    • 1:STN:280:DyaK28zptlentA%3D%3D 8800133 The authors define artificial neural networks as a way to find unexpected relations in data sets based on input from previous data and describe research performed in the 1980's and 1990's in cardiovascular medical research
    • • Itchhaporia D, Snow PB, Almassy RJ, Oetgen WJ. Artificial neural networks: current status in cardiovascular medicine. J Am Coll Cardiol. 1996;28:515-21. The authors define artificial neural networks as a way to find unexpected relations in data sets based on input from previous data and describe research performed in the 1980's and 1990's in cardiovascular medical research.
    • (1996) J Am Coll Cardiol , vol.28 , pp. 515-521
    • Itchhaporia, D.1    Snow, P.B.2    Almassy, R.J.3    Oetgen, W.J.4
  • 14
    • 0028184703 scopus 로고
    • Recognition of ventricular fibrillation using neural networks
    • 1:STN:280:DyaK2c3ptlKmsw%3D%3D 8022221 10.1007/BF02518922
    • Clayton RH, Murray A, Campbell RWF. Recognition of ventricular fibrillation using neural networks. Med Biol Eng Comput. 1994;32:217-20.
    • (1994) Med Biol Eng Comput , vol.32 , pp. 217-220
    • Clayton, R.H.1    Murray, A.2    Campbell, R.W.F.3
  • 15
    • 0035810969 scopus 로고    scopus 로고
    • Artificial neural network-based method of screening heart murmurs in children
    • 1:STN:280:DC%2BD3MzhvFKquw%3D%3D 11390342 10.1161/01.CIR.103.22.2711
    • DeGroff CG, Bhatikar S, Hertzberg J, Shandas R, Valdes-Cruz L, Mahajan RL. Artificial neural network-based method of screening heart murmurs in children. Circulation. 2001;103:2711-6.
    • (2001) Circulation , vol.103 , pp. 2711-2716
    • Degroff, C.G.1    Bhatikar, S.2    Hertzberg, J.3    Shandas, R.4    Valdes-Cruz, L.5    Mahajan, R.L.6
  • 16
    • 84871370219 scopus 로고    scopus 로고
    • Journey in evolution of nuclear cardiology: Will there be another quantum leap with the F-18 labeled myocardial perfusion tracers?
    • 23236979 10.1016/j.jcmg.2012.10.006
    • Dilsizian V, Taillefer R. Journey in evolution of nuclear cardiology: will there be another quantum leap with the F-18 labeled myocardial perfusion tracers? JACC Cardiovasc Imaging. 2012;5:1269-84.
    • (2012) JACC Cardiovasc Imaging. , vol.5 , pp. 1269-1284
    • Dilsizian, V.1    Taillefer, R.2
  • 17
    • 84893649317 scopus 로고    scopus 로고
    • Artificial Intelligence in Medicine. (n.d.). Retrieved September 22, 2013, from Cedars Sinai
    • Artificial Intelligence in Medicine. (n.d.). Retrieved September 22, 2013, from Cedars Sinai: http://www.cedars-sinai.edu/Patients/Programs-and- Services/Medicine-Department/Artificial-Intelligence-in-Medicine-AIM/.
  • 18
    • 84978086884 scopus 로고    scopus 로고
    • ASNC imaging guidelines for nuclear cardiology procedures: PET myocardial perfusion and metabolism clinical imaging
    • published online as supplementary material Accessed September 30, 2013
    • Dilsizian V, Bacharach SL, Beanlands RS, et al. ASNC imaging guidelines for nuclear cardiology procedures: PET myocardial perfusion and metabolism clinical imaging. J Nucl Cardiol. 2009;16: published online as supplementary material. Available at: http://link.springer.com/content/esm/art:10.1007/s12350- 009-9094-9/file/MediaObjects/12350-2009-9094-MOESM1-ESM.pdf. Accessed September 30, 2013.
    • (2009) J Nucl Cardiol. , vol.16
    • Dilsizian, V.1    Bacharach, S.L.2    Beanlands, R.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.