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Online information for Spontaneous Coronary Artery Dissection (SCAD) survivors and their families: a systematic appraisal of content and quality of websites (2024)
Journal Article
Weddell, J., Jawad, D., Buckley, T., Redfern, J., Mansur, Z., Elliott, N., …Gallagher, R. (2024). Online information for Spontaneous Coronary Artery Dissection (SCAD) survivors and their families: a systematic appraisal of content and quality of websites. International Journal of Medical Informatics, 184, Article 105372

Background Spontaneous coronary artery dissection (SCAD) survivors often seek information online. However, the quality and content of websites for SCAD survivors is uncertain. This review aimed to systematically identify and appraise websites for SC... Read More about Online information for Spontaneous Coronary Artery Dissection (SCAD) survivors and their families: a systematic appraisal of content and quality of websites.

Advancing sepsis clinical research: harnessing transcriptomics for an omics-based strategy - a comprehensive scoping review (2023)
Journal Article
Rashid, A., Al-Obeidat, F., Kanthimathinathan, H. K., Benakatti, G., Hafez, W., Ramaiah, R., …Hussain, A. (2024). Advancing sepsis clinical research: harnessing transcriptomics for an omics-based strategy - a comprehensive scoping review. Informatics in Medicine Unlocked, 44, Article 101419. https://doi.org/10.1016/j.imu.2023.101419

Sepsis continues to be recognized as a significant global health challenge across all ages and is characterized by a complex pathophysiology. In this scoping review, PRISMA-ScR guidelines were adhered to, and a transcriptomic methodology was adopted,... Read More about Advancing sepsis clinical research: harnessing transcriptomics for an omics-based strategy - a comprehensive scoping review.

MedOptNet: Meta-Learning Framework for Few-shot Medical Image Classification (2023)
Journal Article
Lu, L., Cui, X., Tan, Z., & Wu, Y. (in press). MedOptNet: Meta-Learning Framework for Few-shot Medical Image Classification. IEEE/ACM Transactions on Computational Biology and Bioinformatics, https://doi.org/10.1109/TCBB.2023.3284846

In the medical research domain, limited data and high annotation costs have made efficient classification under few-shot conditions a popular research area. This paper proposes a meta-learning framework, termed MedOptNet, for few-shot medical image c... Read More about MedOptNet: Meta-Learning Framework for Few-shot Medical Image Classification.

Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique (2022)
Journal Article
Moezzi, S. A. R., Ghaedi, A., Rahmanian, M., Mousavi, S. Z., & Sami, A. (2023). Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique. Journal of Digital Imaging, 36(1), 80-90. https://doi.org/10.1007/s10278-022-00692-x

Since radiology reports needed for clinical practice and research are written and stored in free-text narrations, extraction of relative information for further analysis is difficult. In these circumstances, natural language processing (NLP) techniqu... Read More about Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique.

A process evaluation of 'We Can Quit': a community-based smoking cessation intervention targeting women from areas of socio-disadvantage in Ireland (2022)
Journal Article
Darker, C. D., Burke, E., Castello, S., O'Sullivan, K., O'Connell, N., Vance, J., …Hayes, C. B. (2022). A process evaluation of 'We Can Quit': a community-based smoking cessation intervention targeting women from areas of socio-disadvantage in Ireland. BMC Public Health, 22(1), Article 1528. https://doi.org/10.1186/s12889-022-13957-5

Background: Smoking poses a serious risk of early preventable death and disease especially for women living with socio-economic disadvantage (SED). A smoking cessation programme, ‘We Can Quit’, was developed in Ireland tailored to SED women. This inc... Read More about A process evaluation of 'We Can Quit': a community-based smoking cessation intervention targeting women from areas of socio-disadvantage in Ireland.

Feasible approaches and implementation challenges to atrial fibrillation screening: a qualitative study of stakeholder views in 11 European countries (2022)
Journal Article
Engler, D., Hanson, C., Desteghe, L., Boriani, G., Diederichsen, S. Z., Freedman, B., …Schnabel, R. (2022). Feasible approaches and implementation challenges to atrial fibrillation screening: a qualitative study of stakeholder views in 11 European countries. BMJ Open, 12(6), Article e059156. https://doi.org/10.1136/bmjopen-2021-059156

Objectives: Atrial fibrillation (AF) screening may increase early detection and reduce complications of AF. European, Australian and World Heart Federation guidelines recommend opportunistic screening, despite a current lack of clear evidence support... Read More about Feasible approaches and implementation challenges to atrial fibrillation screening: a qualitative study of stakeholder views in 11 European countries.

Event-Triggered Distributed Data-Driven Iterative Learning Bipartite Formation Control for Unknown Nonlinear Multiagent Systems (2022)
Journal Article
Zhao, H., Yu, H., & Peng, L. (2024). Event-Triggered Distributed Data-Driven Iterative Learning Bipartite Formation Control for Unknown Nonlinear Multiagent Systems. IEEE Transactions on Neural Networks and Learning Systems, 35(1), 417-427. https://doi.org/10.1109/tnnls.2022.3174885

In this study, we investigate the event-triggering time-varying trajectory bipartite formation tracking problem for a class of unknown nonaffine nonlinear discrete-time multiagent systems (MASs). We first obtain an equivalent linear data model with a... Read More about Event-Triggered Distributed Data-Driven Iterative Learning Bipartite Formation Control for Unknown Nonlinear Multiagent Systems.

Learning-based Robust Bipartite Consensus Control for a Class of Multiagent Systems (2022)
Journal Article
Zhao, H., Shan, J., Peng, L., & Yu, H. (2023). Learning-based Robust Bipartite Consensus Control for a Class of Multiagent Systems. IEEE Transactions on Industrial Electronics, 70(4), 4068-4076. https://doi.org/10.1109/tie.2022.3174275

This paper studies the robust bipartite consensus problems for heterogeneous nonlinear nonaffine discrete-time multi-agent systems (MASs) with fixed and switching topologies against data dropout and unknown disturbances. At first, the controlled syst... Read More about Learning-based Robust Bipartite Consensus Control for a Class of Multiagent Systems.

Spontaneous coronary artery dissection: a systematic review of physical and psychosocial recovery following discharge from hospital (2022)
Journal Article
Neubeck, L., McHale, S., Ross, M., MacGillvray, S., Galbraith, M., & Hanson, C. (2022). Spontaneous coronary artery dissection: a systematic review of physical and psychosocial recovery following discharge from hospital. European Journal of Cardiovascular Nursing, 21(7), 665-676. https://doi.org/10.1093/eurjcn/zvac009

Introduction Spontaneous coronary artery dissection (SCAD) is increasingly recognised as an important cause of myocardial infarction, particularly among women. SCAD survivors may not know what physical activity is safe and effective and there may be... Read More about Spontaneous coronary artery dissection: a systematic review of physical and psychosocial recovery following discharge from hospital.

Distributed Event-triggered Bipartite Consensus for Multi-agent Systems Against Injection Attacks (2022)
Journal Article
Zhao, H., Shan, J., Peng, L., & Yu, H. (2023). Distributed Event-triggered Bipartite Consensus for Multi-agent Systems Against Injection Attacks. IEEE Transactions on Industrial Informatics, 19(4), 5377-5386. https://doi.org/10.1109/tii.2022.3157595

This paper studies fully distributed data-driven problems for nonlinear discrete-time multi-agent systems (MASs) with fixed and switching topologies preventing injection attacks. We first develop an enhanced compact form dynamic linearization model b... Read More about Distributed Event-triggered Bipartite Consensus for Multi-agent Systems Against Injection Attacks.

Remotely Delivered Interventions to Support Women With Symptoms of Anxiety in Pregnancy: Mixed Methods Systematic Review and Meta-analysis (2022)
Journal Article
Evans, K., Rennick-Egglestone, S., Cox, S., Kuipers, Y., & Spiby, H. (2022). Remotely Delivered Interventions to Support Women With Symptoms of Anxiety in Pregnancy: Mixed Methods Systematic Review and Meta-analysis. Journal of Medical Internet Research, 24(2), Article e28093. https://doi.org/10.2196/28093

Background: Symptoms of anxiety are common in pregnancy, with severe symptoms associated with negative outcomes for women and babies. Low-level psychological therapy is recommended for women with mild to moderate anxiety, with the aim of preventing a... Read More about Remotely Delivered Interventions to Support Women With Symptoms of Anxiety in Pregnancy: Mixed Methods Systematic Review and Meta-analysis.

The ESC Textbook of Cardiovascular Nursing (2021)
Book
Jennings, C., Astin, F., Fitzsimons, D., Lambrinou, E., Neubeck, L., & Thompson, D. R. (Eds.). (2021). The ESC Textbook of Cardiovascular Nursing. Oxford: Oxford University Press

The varied role, scope of practice, and education of cardiovascular nurses in ESC-affiliated countries: an ACNAP survey (2021)
Journal Article
Fitzsimons, D., Carson, M. A., Hansen, T. B., Neubeck, L., Tanash, M. I., & Hill, L. (2021). The varied role, scope of practice, and education of cardiovascular nurses in ESC-affiliated countries: an ACNAP survey. European Journal of Cardiovascular Nursing, 20(6), 572-579. https://doi.org/10.1093/eurjcn/zvab027

Aims Cardiovascular disease burden is increasing globally, pressuring nursing staff to deliver high-quality care across a diverse range of treatment areas. As such, an evaluation of the educational preparation of nurses is needed. To determine the c... Read More about The varied role, scope of practice, and education of cardiovascular nurses in ESC-affiliated countries: an ACNAP survey.

An Internet-based Health Intervention for Cardiovascular Disease Management that is Integrated with Primary Care Electronic Health Records: A Mixed-Methods Evaluation of Implementation Fidelity and User Experience (2021)
Journal Article
Neubeck, L., Coorey, G., Peiris, D., Scaria, A., Mulley, J., Hafiz, N., & Redfern, J. (2021). An Internet-based Health Intervention for Cardiovascular Disease Management that is Integrated with Primary Care Electronic Health Records: A Mixed-Methods Evaluation of Implementation Fidelity and User Experience. Journal of Medical Internet Research, 23(4), https://doi.org/10.2196/25333

Background: Growing evidence supports the benefits of eHealth interventions to increase patient engagement and improve outcomes for a range of conditions. However, ineffective program delivery and usage attrition limit exposure to these interventions... Read More about An Internet-based Health Intervention for Cardiovascular Disease Management that is Integrated with Primary Care Electronic Health Records: A Mixed-Methods Evaluation of Implementation Fidelity and User Experience.

The European TeleCheck-AF project on remote app-based management of atrial fibrillation during the COVID-19 pandemic: Centre and patient experiences (2021)
Journal Article
Gawałko, M., Duncker, D., Manninger, M., Van der Velden, R. M., Hermans, A. N., Verhaert, D. V., …Linz, D. (2021). The European TeleCheck-AF project on remote app-based management of atrial fibrillation during the COVID-19 pandemic: Centre and patient experiences. EP-Europace, 23(7), 1003-1015. https://doi.org/10.1093/europace/euab050

Aims: TeleCheck-AF is a multicentre international project initiated to maintain care delivery for patients with atrial fibrillation (AF) during COVID-19 through teleconsultations supported by an on-demand photoplethysmography-based heart rate and rhy... Read More about The European TeleCheck-AF project on remote app-based management of atrial fibrillation during the COVID-19 pandemic: Centre and patient experiences.

“MedChemVR”: a virtual reality game to enhance medicinal chemistry education (2021)
Journal Article
Abuhammad, A., Falah, J., Alfalah, S. F. M., Abu-Tarboush, M., Tarawneh, R. T., Drikakis, D., & Charissis, V. (2021). “MedChemVR”: a virtual reality game to enhance medicinal chemistry education. Multimodal Technologies and Interaction, 5(3), Article 10. https://doi.org/10.3390/mti5030010

Medicinal chemistry (MC) is an indispensable component of the pharmacy curriculum. The pharmacists’ unique knowledge of a medicine’s chemistry enhances their understanding of the pharmacological activity, manufacturing, storage, use, supply, and hand... Read More about “MedChemVR”: a virtual reality game to enhance medicinal chemistry education.

Challenges of Self-Presentation and Athlete Branding Among Saudi Female Exercisers: An Auto-ethnography of a Muslim Saudi Personal Trainer Instagram User (2021)
Journal Article
Basabain, W., Macleod, K., Westbury, T., & Qutub, A. (2021). Challenges of Self-Presentation and Athlete Branding Among Saudi Female Exercisers: An Auto-ethnography of a Muslim Saudi Personal Trainer Instagram User. Asian Social Science, 17(3), 9-30. https://doi.org/10.5539/ass.v17n3p9

Some athletes have attracted millions of audiences, even if being namely recognised. Cristiano Ronaldo, Neymar JR., and David Beckham have the most Instagram followers on a global scale. Online Social Networks (OSN) allows users to establish their pr... Read More about Challenges of Self-Presentation and Athlete Branding Among Saudi Female Exercisers: An Auto-ethnography of a Muslim Saudi Personal Trainer Instagram User.

Examining the effectiveness of telemonitoring with routinely acquired blood pressure data in primary care: challenges in the statistical analysis (2021)
Journal Article
Parker, R. A., Padfield, P., Hanley, J., Pinnock, H., Kennedy, J., Stoddart, A., …McKinstry, B. (2021). Examining the effectiveness of telemonitoring with routinely acquired blood pressure data in primary care: challenges in the statistical analysis. BMC Medical Research Methodology, 21(1), Article 31 (2021). https://doi.org/10.1186/s12874-021-01219-8

Background Scale-up BP was a quasi-experimental implementation study, following a successful randomised controlled trial of the roll-out of telemonitoring in primary care across Lothian, Scotland. Our primary objective was to assess the effect of te... Read More about Examining the effectiveness of telemonitoring with routinely acquired blood pressure data in primary care: challenges in the statistical analysis.

ESC Working Group on e-Cardiology Position Paper: Use of Commercially Available Wearable Technology for Heart Rate and Activity Tracking in Primary and Secondary Cardiovascular Prevention (2021)
Journal Article
Jensen, M. T., Treskes, R. W., Caiani, E. G., Casado-Arroyo, R., Cowie, M. R., Dilaveris, P., …Lumens, J. (2021). ESC Working Group on e-Cardiology Position Paper: Use of Commercially Available Wearable Technology for Heart Rate and Activity Tracking in Primary and Secondary Cardiovascular Prevention. European Heart Journal – Digital Health, 2(1), 49-59. https://doi.org/10.1093/ehjdh/ztab011

Commercially available health technologies such as smartphones and smartwatches, activity trackers and eHealth applications, commonly referred to as wearables, are increasingly available and used both in the leisure and healthcare sector for pulse an... Read More about ESC Working Group on e-Cardiology Position Paper: Use of Commercially Available Wearable Technology for Heart Rate and Activity Tracking in Primary and Secondary Cardiovascular Prevention.

A digital health intervention for cardiovascular disease management in primary care (CONNECT) randomized controlled trial (2020)
Journal Article
Redfern, J., Coorey, G., Mulley, J., Scaria, A., Neubeck, L., Hafiz, N., …Peiris, D. (2020). A digital health intervention for cardiovascular disease management in primary care (CONNECT) randomized controlled trial. npj Digital Medicine, 3, Article 117 (2020). https://doi.org/10.1038/s41746-020-00325-z

Digital health applications (apps) have the potential to improve health behaviors and outcomes. We aimed to examine the effectiveness of a consumer web-based app linked to primary care electronic health records (EHRs). CONNECT was a multicenter rando... Read More about A digital health intervention for cardiovascular disease management in primary care (CONNECT) randomized controlled trial.