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Digital Technologies for Cardiovascular Diseases

Call for papers

Digital Technologies Collection

The COVID-19 pandemic has painfully highlighted the tremendous value of digital technologies in healthcare. Never before has the need for digital cardiovascular care been more pressing, as well as more promising. Hence, with this call for papers, BMC Cardiovascular Disorders acknowledges that new approaches are fundamental to the advancement of modern cardiology. We encourage patients, researchers, academics, clinicians and policy makers to appreciate that progress in digital health and innovation has a broad scope.

This call is broad and not limited to the following topics:

  • Digital technology in diagnostic aid
  • Imaging post-processing software
  • Patient follow-up using digital health
  • Protocols on digital health projects
  • Patient-related data
  • AI in cardiovascular sciences
  • Innovation in cardiovascular health
  • New digital solutions in clinical workflows
  • Cardio-bioinformatics
  • Robotic interventions
  • Technology and assisted decision-making
  • Using a mobile solution to citizens and/or health care professionals
  • Remote educational activities
  • Review of digital health/new technology entities
  • Medical devices and cybersecurity
  • Impact of wearable technology

We welcome the submission of research papers (including methods), study protocols, technical advancements, systematic reviews, and meta-analyses. However, we do not accept case reports. We also accept proposals for narrative reviews or commentaries, however these will have to be approved by the Editor, prior to submitting. Please email any pre-submission inquiries to

Articles will undergo peer-review process overseen by our Guest Editors, Dr Peter Magnusson (Gävle hospital, Sweden), Dr Morten Lamberts (Herlev-Gentofte University Hospital and University of Copenhagen, Denmark ) and Dr J. Alexander D. Kharlamov (De Haar Research Task Force, the Netherlands).

Please ensure your manuscript adheres to the submission guidelines for BMC Cardiovascular Disorders. Especially for manuscripts describing randomized trials, qualitative research, and systematic review methods the Equator Network reporting guidelines should be followed.

To submit your manuscript, please use our online submission system, Editorial Manager. Please make sure you submit in Editorial Manager and not our new editorial submission system.

Please specify that you would like your article to be considered for the ‘Digital Technologies for Cardiovascular Diseases’ article collection in your cover letter. When you have submitted please notify the editor in:

Articles will be published as they get accepted. With the last article's publication, the whole article collection will be showcased on the journal’s website and further publicized via SpringerNature channels.

This collection is now closed for submissions. 

Peter Magnusson, MD, PhD

Peter Magnusson pictureDr Peter Magnusson received his medical degree from Lund University and his PhD from Karolinska Institute. He is currently working as a senior consultant at Gävle hospital in Sweden. His clinical work mainly involves management of patients with cardiac arrhythmias, heart failure, especially cardiomyopathies, and cardiac devices including implantation. His research overlaps with these clinical areas but also covers broad aspects of medicine and innovation. Peter is a renowned speaker and leader of educational activities for diverse groups of professionals.

Morten Lamberts, MD, PhD

New Content ItemDr Morten Lamberts is innovation ambassador and Associate Professor at University of Copenhagen, Denmark. He is also senior consultant at the Department of Cardiology at Herlev-Gentofte University Hospital in Copenhagen. His scientific background includes pharmaco-epidemiology and big data research within nationwide Danish Health databases. More recently his research interests focus on digital devices for remote monitoring and diagnostics of cardiovascular disease, including use of technology for patient empowerment and assisted shared decision-making. His clinical focus is on thrombosis and cardiac MRI. He is a member of the Danish Society of Cardiology working group of Digital Health.

Dr J. Alexander D. Kharlamov, FESC, FACC, FEACVI

New Content ItemDr J. Alexander D. Kharlamov is a clinical and translational researcher in cardiology. His experience includes 24 years of clinical practice, 19 years of translational research in nanomedicine, and 13 years of bench-to-bedside studies, including imaging, vascular pathology, and medical devices (bioresorbable scaffolds and stents). He is a team leader of the running HIVE and REALITY Advanced projects, which unite international efforts of both Academia and Industry, aiming to promote a synergistic development of the advanced machine-learning imaging software to integrate benefits of both non-invasive and invasive imaging.

  1. The availability, affordability and utilisation of commercially available self-monitoring devices is increasing, but their impact on routine clinical decision-making remains little explored. We sought to exami...

    Authors: Christine A’Court, Wilfred Jenkins, Claire Reidy and Chrysanthi Papoutsi
    Citation: BMC Cardiovascular Disorders 2022 22:428
  2. The purpose of this study is to dynamically monitor the myocardial structure and function changes in diabetic mini-pigs by 1.5 T cardiac magnetic resonance.

    Authors: Guozhu Shao, Yukun Cao, Yue Cui, Xiaoyu Han, Jia Liu, Yumin Li, Na Li and Heshui Shi
    Citation: BMC Cardiovascular Disorders 2022 22:143
  3. To evaluate the effect of stent boost subtract (SBS) imaging on stent underexpansion during percutaneous coronary intervention (PCI) in patients with acute ST-segment elevation myocardial infarction (STEMI) by...

    Authors: Yuanyuan Duan, Limin Jing, Shi Pan, Sujuan Yan, Fang Wang, Hong Yu, Beibei Zhang, Guangsheng Wei, Ming Zhang and Jiao Zhang
    Citation: BMC Cardiovascular Disorders 2022 22:62
  4. Although the diagnostic method for coronary atherosclerosis heart disease (CAD) is constantly innovated, CAD in the early stage is still missed diagnosis for the absence of any symptoms. The gene expression le...

    Authors: Wenjuan Peng, Yuan Sun and Ling Zhang
    Citation: BMC Cardiovascular Disorders 2022 22:42
  5. Machine-Learning Computed Tomography-Based Fractional Flow Reserve (CT-FFRML) is a novel tool for the assessment of hemodynamic relevance of coronary artery stenoses. We examined the diagnostic performance of CT-...

    Authors: Dirk Lossnitzer, Selina Klenantz, Florian Andre, Johannes Goerich, U. Joseph Schoepf, Kyle L. Pazzo, Andre Sommer, Matthias Brado, Friedemann Gückel, Roman Sokiranski, Tobias Becher, Ibrahim Akin, Sebastian J. Buss and Stefan Baumann
    Citation: BMC Cardiovascular Disorders 2022 22:34
  6. Home blood pressure monitoring (HBPM) is an effective tool in treatment and long-term management of hypertension. HBPM incorporates more data points to help patients and providers with diagnosis and management...

    Authors: Ashley F. Railey, Denise A. Dillard, Amber Fyfe-Johnson, Michael Todd, Krista Schaefer and Robert Rosenman
    Citation: BMC Cardiovascular Disorders 2022 22:19
  7. Determining the presence of modifiable risk factors for atrial fibrillation (AF), such as sleep apnea is of clinical importance due to the potential impact targeting these risk factors can have on the progress...

    Authors: Mads Hashiba Jensen, Frederik Dalgaard, Rasmus Rude Laub, Vibeke Gottlieb, Morten Lock Hansen, Olav Vendelboe, Jim Hansen and Morten Lamberts
    Citation: BMC Cardiovascular Disorders 2022 22:6
  8. To explore the characteristics of myocardial textures on coronary computed tomography angiography (CCTA) images in patients with coronary atherosclerotic heart disease, a classification model was established, ...

    Authors: Hengyu Zhao, Lijie Yuan, Zhishang Chen, Yuting Liao and Jiangzhou Lin
    Citation: BMC Cardiovascular Disorders 2021 21:416
  9. Mobile health-based individualized interventions have shown potential effects in managing cardiovascular risk factors. This study aims to assess whether or not mHealth based individualized interventions delive...

    Authors: Yuling Chen, Meihua Ji, Ying Wu, Ying Deng, Fangqin Wu and Yating Lu
    Citation: BMC Cardiovascular Disorders 2021 21:340