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Volume 5, Issue 1, January 2024
Letters to the Editor
Challenges in developing and validating machine learning models for transcatheter aortic valve implantation mortality risk prediction
European Heart Journal - Digital Health, Volume 5, Issue 1, January 2024, Pages 1–2, https://doi.org/10.1093/ehjdh/ztad059
Challenges in developing and validating machine learning models for TAVI mortality risk prediction: reply
European Heart Journal - Digital Health, Volume 5, Issue 1, January 2024, Pages 3–5, https://doi.org/10.1093/ehjdh/ztad065
Editorial
From data to wisdom: harnessing the power of multimodal approach for personalized atherosclerotic cardiovascular risk assessment
European Heart Journal - Digital Health, Volume 5, Issue 1, January 2024, Pages 6–8, https://doi.org/10.1093/ehjdh/ztad068
Original Articles
Impact of a clinician-to-clinician electronic consultation in heart failure patients with previous hospital admissions
European Heart Journal - Digital Health, Volume 5, Issue 1, January 2024, Pages 9–20, https://doi.org/10.1093/ehjdh/ztad052
Expanding access to telehealth in Australian cardiac rehabilitation services: a national survey of barriers, enablers, and uptake
European Heart Journal - Digital Health, Volume 5, Issue 1, January 2024, Pages 21–29, https://doi.org/10.1093/ehjdh/ztad055
Improving cardiovascular risk prediction through machine learning modelling of irregularly repeated electronic health records
European Heart Journal - Digital Health, Volume 5, Issue 1, January 2024, Pages 30–40, https://doi.org/10.1093/ehjdh/ztad058
CURATE.AI-assisted dose titration for anti-hypertensive personalized therapy: study protocol for a multi-arm, randomized, pilot feasibility trial using CURATE.AI (CURATE.AI ADAPT trial)
European Heart Journal - Digital Health, Volume 5, Issue 1, January 2024, Pages 41–49, https://doi.org/10.1093/ehjdh/ztad063
Machine learning-derived cycle length variability metrics predict spontaneously terminating ventricular tachycardia in implantable cardioverter defibrillator recipients
European Heart Journal - Digital Health, Volume 5, Issue 1, January 2024, Pages 50–59, https://doi.org/10.1093/ehjdh/ztad064
External validation of a deep learning algorithm for automated echocardiographic strain measurements
European Heart Journal - Digital Health, Volume 5, Issue 1, January 2024, Pages 60–68, https://doi.org/10.1093/ehjdh/ztad072
Cardiology professionals’ views of social robots in augmenting heart failure patient care
European Heart Journal - Digital Health, Volume 5, Issue 1, January 2024, Pages 69–76, https://doi.org/10.1093/ehjdh/ztad067
Population data–based federated machine learning improves automated echocardiographic quantification of cardiac structure and function: the Automatisierte Vermessung der Echokardiographie project
European Heart Journal - Digital Health, Volume 5, Issue 1, January 2024, Pages 77–88, https://doi.org/10.1093/ehjdh/ztad069
Automatic triage of twelve-lead electrocardiograms using deep convolutional neural networks: a first implementation study
European Heart Journal - Digital Health, Volume 5, Issue 1, January 2024, Pages 89–96, https://doi.org/10.1093/ehjdh/ztad070
Short Reports
Network analysis of the social media activities around the #TeleCheckAF project
European Heart Journal - Digital Health, Volume 5, Issue 1, January 2024, Pages 97–100, https://doi.org/10.1093/ehjdh/ztad066
Feasibility and accuracy of real-time 3D-holographic graft length measurements
European Heart Journal - Digital Health, Volume 5, Issue 1, January 2024, Pages 101–104, https://doi.org/10.1093/ehjdh/ztad071
