2634-3916

European Heart Journal - Digital Health

Oxford University Press

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Your prioritized action plan

Ordered by how many DOIs each fix touches — start here, not with every error at once.

1

Attach ORCID iDs across 312 articles

ORCID iDs strengthen author disambiguation and institutional reporting.

Medium impact312 DOIs
2

Deposit reference lists for 303 records

Deposited references power Crossref's Cited-by links between your articles and the literature.

Medium impact303 DOIs
3

Add abstracts to 125 articles

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Low impact125 DOIs

DOIs for this ISSN

Showing the top 5 of 891 DOIs, ordered by correction priority.

# Title Missing Priority Citations
1 Smartwatch detected high-degree atrioventricular block requi… (10.1093/ehjdh/ztab051)
Abstract References ORCID
58.36 5
2 Telemonitoring of heart failure patients is reimbursed in Ge… (10.1093/ehjdh/ztac017)
Abstract ORCID
57.31 13
3 Use of Smartphone-operated ECG for home ECG surveillance in… (10.1093/ehjdh/ztab009)
Abstract ORCID
52.07 10
4 Building the new digital world: launch of the <i>European He… (10.1093/ehjdh/ztaa002)
Abstract References ORCID
45.15 3
5 Can artificial intelligence-assisted auscultation become the… (10.1093/ehjdh/ztab016)
Abstract ORCID
45.15 7
6 Social media in cardiovascular medicine: a contemporary revi… (10.1093/ehjdh/ztaa004)
ORCID
42.25 48
7 Appraisal of digital home-based 6-Minute Walk Test for use i… (10.1093/ehjdh/ztab021)
Abstract ORCID
42.25 6
8 Feasibility of clinical and electrocardiographic follow-up o… (10.1093/ehjdh/ztac076.2817)
References ORCID
42.25 6
9 Deep learning analysis of resting electrocardiograms for the… (10.1093/ehjdh/ztab048)
ORCID
41.57 45
10 The photoplethysmography dictionary: practical guidance on s… (10.1093/ehjdh/ztab050)
ORCID
40.58 41
11 Virtual healthcare solutions for cardiac rehabilitation: a l… (10.1093/ehjdh/ztad005)
Abstract
40.32 40
12 Mechanistic modelling of Virchows triad to assess thrombogen… (10.1093/ehjdh/ztac076.2788)
References ORCID
38.91 5
13 Usefulness of multi-labelling artificial intelligence in det… (10.1093/ehjdh/ztab029)
ORCID
36.56 28
14 Real-time machine learning-based intensive care unit alarm c… (10.1093/ehjdh/ztab058)
ORCID
34.95 24
15 Key features in telehealth-delivered cardiac rehabilitation… (10.1093/ehjdh/ztad080)
References
34.04 22
16 Use of large language models for evidence-based cardiovascul… (10.1093/ehjdh/ztad041)
Abstract
31.38 17
17 Contact-free sensor signals as a new digital biomarker for c… (10.1093/ehjdh/ztaa006)
ORCID
30.10 15
18 Welcome on behalf of the Editors! Letter from the editor (10.1093/ehjdh/ztaa013)
Abstract References
30.10 3
19 Investigating performance of deep learning and machine learn… (10.1093/ehjdh/ztab104.3068)
References ORCID
30.10 3
20 Remote telemedicine strategy based on multi-risks interventi… (10.1093/ehjdh/ztac076.2813)
References ORCID
30.10 3
21 ChatGPT’s ability to classify virtual reality studies in car… (10.1093/ehjdh/ztad026)
Abstract
26.98 11
22 ChatGPT fails the test of evidence-based medicine (10.1093/ehjdh/ztad043)
Abstract
26.98 11
23 Mobile application to optimize care for ST-segment elevation… (10.1093/ehjdh/ztab010)
ORCID
26.03 10
24 Accuracy of wristwatch-type photoplethysmography in detectin… (10.1093/ehjdh/ztac041)
ORCID
26.03 10
25 Insights from Twitter about novel COVID-19 symptoms (10.1093/ehjdh/ztaa003)
Abstract
25.00 9
26 COVID-19 pandemic: practical considerations on rapid initiat… (10.1093/ehjdh/ztaa007)
Abstract
25.00 9
27 Artificial intelligence for automated ECG analysis: an exper… (10.1093/ehjdh/ztab024)
Abstract ORCID
23.86 2
28 Wearables for cardiac monitoring in athletes: precious metal… (10.1093/ehjdh/ztab056)
Abstract ORCID
23.86 2
29 The Mayo Clinic: digital health centre of excellence (10.1093/ehjdh/ztac005)
Abstract References
23.86 2
30 Can artificial intelligence prediction of successful atrial… (10.1093/ehjdh/ztac076.2775)
References ORCID
23.86 2
31 Predicting cardiovascular risk factors from facial &amp; ful… (10.1093/ehjdh/ztac076.2780)
References ORCID
23.86 2
32 Use of a device-based remote management heart failure care p… (10.1093/ehjdh/ztac076.2814)
References ORCID
23.86 2
33 Erratum (10.1093/ehjdh/ztab098)
Abstract References ORCID
22.58 1
34 Home monitoring of arterial pulse-wave velocity during COVID… (10.1093/ehjdh/ztac027)
ORCID
22.58 7
35 Corrigendum to: 2021 ISHNE / HRS / EHRA / APHRS Collaborativ… (10.1093/ehjdh/ztac060)
Abstract References ORCID
22.58 1
36 Enhanced prediction of atrial fibrillation and mortality amo… (10.1093/ehjdh/ztab065)
ORCID
21.13 6
37 Variational auto-encoders improve explainability over curren… (10.1093/ehjdh/ztac063)
Abstract
21.13 6
38 Does ChatGPT succeed in the European Exam in Core Cardiology… (10.1093/ehjdh/ztad040)
Abstract
21.13 6
39 Smartphone and email capabilities of heart failure patients (10.1093/ehjdh/ztab008)
Abstract
17.47 4
40 Towards a digital health future (10.1093/ehjdh/ztab023)
Abstract
17.47 4
41 The 12-lead surface electrocardiogram: a sheet of paper or a… (10.1093/ehjdh/ztab066)
Abstract
17.47 4
42 Digital transformation of major scientific meetings induced… (10.1093/ehjdh/ztab076)
References
17.47 4
43 Performance of artificial intelligence in answering cardiova… (10.1093/ehjdh/ztad042)
Abstract
17.47 4
44 Turning out the lights: the importance of digital health res… (10.1093/ehjdh/ztab013)
Abstract References
15.05 1
45 Predicting heart failure with preserved ejection fraction: r… (10.1093/ehjdh/ztab017)
Abstract ORCID
15.05 1
46 Translational challenges for synthetic imaging in cardiology (10.1093/ehjdh/ztab079)
Abstract
15.05 3
47 A comparison of over-the-counter available smartwatches and… (10.1093/ehjdh/ztab104.3047)
References ORCID
15.05 1
48 Adaptive design with bayesian informed interim decisions: ap… (10.1093/ehjdh/ztab104.3178)
References ORCID
15.05 1
49 Keep your fingers on the PULsE: artificial intelligence to g… (10.1093/ehjdh/ztac032)
Abstract
15.05 3
50 Electronic health record-based facilitation of familial hype… (10.1093/ehjdh/ztac059)
ORCID
15.05 3