⚡ Quick Summary
This study explores the transformative role of Artificial Intelligence (AI) in the field of cardiology, particularly in the management of arrhythmias. By leveraging intelligent systems, AI has the potential to enhance diagnostic accuracy, personalize treatment, and ultimately improve patient outcomes in cardiovascular care.
🔍 Key Details
- 📊 Total Records Analyzed: 6,876 records retrieved
- 🧩 Final Studies Included: 200 studies after rigorous screening
- ⚙️ Focus Areas: AI applications in arrhythmias and cardiovascular diseases
- 🏆 Key Technologies: Machine learning and convolutional neural networks
🔑 Key Takeaways
- 💡 AI is revolutionizing the diagnosis and treatment of cardiovascular diseases.
- 🤖 Intelligent systems can facilitate non-invasive diagnostics.
- 📈 AI’s predictive capabilities can personalize therapies for patients.
- 🌍 Global healthcare quality can be enhanced through AI integration.
- 🔬 Continuous research is essential for the effective implementation of AI in cardiology.
- 🏥 Wearable devices are crucial for timely detection of life-threatening arrhythmias.
- 📅 Study conducted across multiple renowned electronic medical databases.
📚 Background
Cardiovascular disease (CVD) remains a leading cause of morbidity and mortality worldwide. As healthcare professionals seek to improve decision-making processes, the integration of Artificial Intelligence into cardiology emerges as a promising solution. AI technologies can streamline diagnostics, enhance treatment protocols, and ultimately lead to better patient care.
🗒️ Study
The study conducted a comprehensive review of existing literature on AI applications in cardiology, focusing specifically on arrhythmias. An extensive search strategy was employed across multiple electronic medical databases, including Medline, PubMed, and Cochrane Library, utilizing keywords related to AI and cardiovascular diseases.
📈 Results
Out of the initial 6,876 records, 200 studies were ultimately included in the review. The findings underscore the significant role of AI in making precise predictions, facilitating non-invasive diagnoses, and personalizing therapies for patients with arrhythmias. This highlights the potential of AI to enhance the quality of care in cardiology.
🌍 Impact and Implications
The implications of this study are profound. By harnessing the power of AI, healthcare systems can improve the management of arrhythmias and other cardiovascular conditions. This not only promises to save lives but also enhances the overall quality of healthcare delivery on a global scale. The potential for AI to transform patient care is immense, paving the way for a new era in cardiology.
🔮 Conclusion
In conclusion, AI is not merely a technological advancement; it represents a cutting-edge force driving the evolution of cardiology. With its ability to make accurate predictions and personalize treatment, AI holds the promise of significantly improving patient outcomes in cardiovascular care. Continued research and careful implementation are essential to fully realize its potential.
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Artificial Intelligence in the Heart of Medicine: Transforming Arrhythmia Care with Intelligent Systems.
Abstract
BACKGROUND: At a critical juncture in the ongoing fight against cardiovascular disease (CVD), healthcare professionals are striving for more informed and expedited decisionmaking. Artificial Intelligence (AI) promises to be a guiding light in this endeavor. The diagnosis of coronary artery disease has now become non-invasive and convenient, while wearable devices excel at promptly detecting life-threatening arrhythmias and treatments for heart failure.
OBJECTIVE: This study aimed to highlight the applications of AI in cardiology with a particular focus on arrhythmias and its potential impact on healthcare for all through careful implementation and constant research efforts.
METHODS: An extensive search strategy was implemented. The search was conducted in renowned electronic medical databases, including Medline, PubMed, Cochrane Library, and Google Scholar. Artificial Intelligence, cardiovascular diseases, arrhythmias, machine learning, and convolutional neural networks in cardiology were used as keywords for the search strategy.
RESULTS: A total of 6876 records were retrieved from different electronic databases. Duplicates (N = 1356) were removed, resulting in 5520 records for screening. Based on predefined inclusion and exclusion criteria, 4683 articles were excluded. Following the full-text screening of the remaining 837 articles, a further 637 were excluded. Ultimately, 200 studies were included in this review.
CONCLUSION: AI represents not just a development but a cutting-edge force propelling the next evolution of cardiology. With its capacity to make precise predictions, facilitate non-invasive diagnosis, and personalize therapies, AI holds the potential to save lives and enhance healthcare quality on a global scale.
Author: [‘Hamad AKS’, ‘Haji J’]
Journal: Curr Cardiol Rev
Citation: Hamad AKS and Haji J. Artificial Intelligence in the Heart of Medicine: Transforming Arrhythmia Care with Intelligent Systems. Artificial Intelligence in the Heart of Medicine: Transforming Arrhythmia Care with Intelligent Systems. 2025; (unknown volume):(unknown pages). doi: 10.2174/011573403X334095241205041550