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Artificial Intelligence in Health                              Opportunities for AI-based arrhythmia screening



            Acknowledgments                                    5.   Auer  R,  Bauer  DC,  Marques-Vidal  P,  Butler  J,  Min  LJ,
                                                                  Cornuz J. Association of major and minor ECG
            The author wants to acknowledge the discussions with   abnormalities with coronary heart disease events.  JAMA.
            and data repository sharing by the cardiologists and   2012;307:1497-1505.
            electrophysiologists at the following institutions: Cleveland      doi: 10.1001/jama.2012.434
            Clinic, Cleveland, OH, USA and London, UK, Manchester
            University, Manchester, UK, Cambridge University,   6.   Mai VT, Alattas KA, Bouteraa Y, Ghaderpour E,
            Cambridge, UK, Havard Medical School, Cambridge, MA,   Mohammadzadeh A. Personalized blood pressure control
            USA, and University of São Paulo Medical School, São   by machine learning for remote patient monitoring. IEEE
            Paulo, Brazil.                                        Access. 2024;12:83994-84004.
                                                                  doi: 10.1109/ACCESS.2024.3413572
            Funding
                                                               7.   Cheng CH, Wong KW, Chin JW, Chan TT, So RHY. Deep
            None.                                                 learning methods for remote heart rate measurement: A review
                                                                  and future research agenda. Sensors. 2021;21(18):6296.
            Conflict of interest                                  doi: 10.3390/s21186296
            The author declares no conflicts of interest.      8.   Androulakis E, Fielder C.  Artificial Intelligence in ECG
            Author contributions                                  Diagnostics-where  are  we  now?  European  Society  of
                                                                  Cardiology; 2024. Available from: https://www.escardio.
            This is a single-authored article.                    org/councils/council-for-cardiology-practice-(ccp)/
                                                                  cardiopractice/artificial-intelligence-in-ecg-diagnostics-
            Ethics approval and consent to participate            where-are-we-now [Last accessed on 2025 Mar 18].
            Not applicable.                                    9.   Sau A, Pastika L, Sieliwonczyk E, et al. Artificial intelligence-
                                                                  enabled electrocardiogram for mortality and cardiovascular
            Consent for publication                               risk estimation: A model development and validation study.
                                                                  Lancet Digit Health. 2024;6(11):e791-e802.
            Not applicable.
                                                                  doi: 10.1016/S2589-7500(24)00172-9
            Availability of data                               10.  Siontis  KC,  Noseworthy  PA,  Attia  ZI,  Friedman  PA.

            Data cannot be shared due to confidentiality concerns and   Artificial intelligence-enhanced electrocardiography in
                                                                  cardiovascular disease management.  Nat Rev Cardiol.
            proprietary analysis procedures.
                                                                  2021;18(7):465-478.
            References                                            doi: 10.1038/s41569-020-00503-2
            1.   Empana JP, Lerner I, Valentin E, et al. Incidence of Sudden   11.  Najarian K, Splinter R.  Biomedical Signal and Image
               cardiac death in the European Union.  J  Am  Coll Cardiol.   Processing. 2  ed. Boca Raton, FL: CRC Press; 2012.
                                                                           nd
               2022;79(18):1818-1827.                             doi: 10.1201/b11978
               doi: 10.1016/j.jacc.2022.02.041                 12.  Einthoven W. Galvanometrische registratie van het
            2.   Zwietering PJ, Knottnerus JA, Rinkens PE, Kleijne MA,   menschelijk electrocardiogram. In: Herinneringsbundel Prof.
               Gorgels AP. Arrhythmias in general practice: Diagnostic   S.S. Rosenstern. Leiden: Eduard Ijdo; 1902. p. 101-106.
               value of patient characteristics, medical history and   13.  Einthoven W. Het tele-cardiogram. Ned Tijdschr Geneeskd.
               symptoms. Fam Pract. 1998;15:343-353.
                                                                  1906;22:1517-1547.
               doi: 10.1093/fampra/15.4.343
                                                               14.  Attia ZI, Noseworthy PA, Lopez-Jimenez F, et al. An artificial
            3.   Hoefman E, Van Weert HCPM, Reisma JB, Koster RW,   intelligence-enabled ECG algorithm for the identification
               Bindels  PJE. Diagnostic yield of patient-activated loop   of patients with atrial fibrillation during sinus rhythm:
               recorders for detecting heart rhythm abnormalities in   A  retrospective analysis of outcome prediction.  Lancet.
               general practice: A  randomised clinical trial.  Fam Pract.   2019;394(10201):861-867.
               2005;22:478-484.                                15.  Yusuf SW, Durand JB, Lenihan DJ, Swafford J. Dextrocardia:
               doi: 10.1093/fampra/cmi048                         An incidental finding. Tex Heart Inst J. 2009;36(4):358-359.
            4.   Hoefman E, Bindels PJE, Van Weert HCPM. Efficacy of   16.  Bernasconi A, Azancot A, Simpson JM, Jones A,
               diagnostic tools for detecting cardiac arrhythmias: Systemic   Sharland GK. Fetal dextrocardia: Diagnosis and outcome in
               literature search. Neth Heart J. 2010;18:543-551.  two tertiary centres. Heart. 2005;91(12):1590-1594.
               doi: 10.1007/s12471-010-0831-0                     doi: 10.1136/hrt.2004.048330


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