Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases

Muzammil, Muhammad Ali; Javid, Saman; Afridi, Azra Khan; Siddineni, Rupini; Shahabi, Mariam; Haseeb, Muhammad; Fariha, F.N.U.; Kumar, Satesh; Zaveri, Sahil; Nashwan, Abdulqadir J.

doi:10.1016/j.jelectrocard.2024.01.006

Cited by 8 publications

(4 citation statements)

References 60 publications

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“…Medication Adherence Six studies assessed medication adherence. AIdriven reminders and mobile health applications improved adherence rates, with an odds ratio of 1.48 (95% CI: 1.31 to 1.67) [16,17,18,19,20,21].…”

Section: Primary Outcomesmentioning

confidence: 99%

“…Patient Satisfaction Four studies evaluated patient satisfaction with e-health interventions (16,17,18,19). The interventions, particularly telehealth platforms and mobile health applications, demonstrated significant improvements in patient satisfaction scores.…”

Section: Secondary Outcomesmentioning

confidence: 99%

“…Second, more research is needed to determine the long-term effects of these technologies and to identify the best ways to implement them in clinical practice. Specifically, future studies should focus on the sustained impact of ehealth interventions on patient outcomes over longer follow-up periods [15,16,17]. This review has several strengths.…”

Section: Patient Engagement and Satisfaction E-health Technologies Es...mentioning

confidence: 99%

“…Additionally, costeffectiveness analyses should be integrated into future studies to provide a comprehensive evaluation of these technologies' economic impacts on healthcare systems (12,14). Investigating patient-centered outcomes, such as quality of life and satisfaction, will be vital to understanding the broader implications of these technologies on patient well-being (15,17). Ensuring equitable access to e-health technologies across different socioeconomic groups will also be critical for maximizing their public health impact (13,16).…”

Section: Patient Engagement and Satisfaction E-health Technologies Es...mentioning

confidence: 99%

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Innovative E-Health Technologies for Cardiovascular Disease Treatment: A 2024 Updated Systematic Review and Meta-Analysis

Borges

2024

Preprint

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Background and Objectives:Cardiovascular disease (CVD) remains the leading cause of death globally, with an estimated 18.6 million deaths in 2021. E-health interventions have the potential to improve CVD management by providing remote monitoring, patient education, and support. This updated systematic review and meta-analysis aimed to synthesize the evidence on the effectiveness of innovative e-health technologies for CVD treatment, including studies published up to November 2023.Methods:A comprehensive literature search was conducted in MEDLINE, Embase, Cochrane Central Register of Controlled Trials, CINAHL, and PsycINFO from inception to November 2023. Randomized controlled trials (RCTs) comparing an innovative e-health technology to usual care or another intervention in adults with CVD or at risk of CVD were included. The risk of bias was assessed using the Cochrane Collaboration’s risk of bias tool. A meta-analysis was conducted for outcomes with sufficient studies and similar interventions and outcomes. For other outcomes, a narrative synthesis was performed. The certainty of evidence for each outcome was assessed using the GRADE approach.Findings:Thirty studies met the inclusion criteria, with a total of 10,234 participants. The interventions included artificial intelligence, machine learning, wearable devices, mobile health, telehealth, virtual reality, augmented reality, blockchain technology, Internet of Things (IoT), and big data analytics. The outcomes assessed were blood pressure, cholesterol levels, medication adherence, cardiovascular events, and quality of life. The meta-analysis showed that innovative e-health technologies were effective in improving blood pressure (mean difference: -5.7 mmHg; 95% CI: -7.3 to -4.1), cholesterol levels (mean difference: -10.8 mg/dL; 95% CI: -13.9 to -7.7), and medication adherence (odds ratio: 1.48; 95% CI: 1.31 to 1.67). The certainty of evidence for these outcomes was moderate. The narrative synthesis indicated that innovative e-health technologies were also effective in reducing cardiovascular events and improving quality of life. However, the evidence for these outcomes was limited, and more research is needed.Conclusions:The findings from this systematic review and meta-analysis provide robust evidence that innovative e-health technologies significantly enhance the management of cardiovascular disease (CVD). The included interventions, spanning artificial intelligence (AI), machine learning (ML), wearable devices, mobile health (mHealth), telehealth, virtual reality (VR), augmented reality (AR), blockchain technology, Internet of Things (IoT), and big data analytics, have demonstrated substantial improvements in key clinical outcomes. However, limitations such as variability in study design and the need for more high-quality RCTs highlight areas for further research. In clinical practice, these technologies offer promising avenues for improving patient outcomes and optimizing CVD management strategies.

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Section: Primary Outcomesmentioning

confidence: 99%

Section: Secondary Outcomesmentioning

confidence: 99%

Section: Patient Engagement and Satisfaction E-health Technologies Es...mentioning

confidence: 99%

Section: Patient Engagement and Satisfaction E-health Technologies Es...mentioning

confidence: 99%

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Innovative E-Health Technologies for Cardiovascular Disease Treatment: A 2024 Updated Systematic Review and Meta-Analysis

Borges

2024

Preprint

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Towards Trustworthy AI in Cardiology: A Comparative Analysis of Explainable AI Methods for Electrocardiogram Interpretation

Gumpfer,

Dinov,

Sossalla

et al. 2024

Artificial Intelligence in Medicine

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Advancements and applications of Artificial Intelligence in cardiology: Current trends and future prospects

Olawade,

Aderinto,

Olatunji

et al. 2024

Journal of Medicine, Surgery, and Public Health

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Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases

Cited by 8 publications

References 60 publications

Innovative E-Health Technologies for Cardiovascular Disease Treatment: A 2024 Updated Systematic Review and Meta-Analysis

Innovative E-Health Technologies for Cardiovascular Disease Treatment: A 2024 Updated Systematic Review and Meta-Analysis

Towards Trustworthy AI in Cardiology: A Comparative Analysis of Explainable AI Methods for Electrocardiogram Interpretation

Advancements and applications of Artificial Intelligence in cardiology: Current trends and future prospects

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