About this Research Topic
Artificial Intelligence (AI) for arrhythmia detection and prediction represents an emerging field within cardiovascular medicine. Despite notable advancements, current efforts often fall short in effectively screening and detecting arrhythmias, particularly in real-time and predictive contexts. The proliferation of smartwatches and wearable devices has resulted in vast amounts of data that require precise and efficient processing. However, the ability to anticipate arrhythmic events before their occurrence remains an elusive goal.
Recent studies have demonstrated the potential of AI and Deep Learning (DL) algorithms in improving the accuracy of arrhythmia detection. Yet, there remains a significant gap in integrating these technologies seamlessly into clinical practice. Addressing this gap is crucial for enhancing patient outcomes and advancing the field of cardiovascular medicine.
This Research Topic aims to explore the transformative potential of AI and DL in the accurate detection and prediction of arrhythmias. The primary objective is to investigate how AI can be leveraged to process data from various devices, such as 12-lead ECG machines, Holter monitors, inpatient ECG monitoring devices, and wearables, to detect arrhythmias before clinical manifestation. Specific questions include:
- How can AI algorithms be optimized for real-time arrhythmia detection?
- What are the most effective DL methodologies for analyzing diverse data modalities?
The research will also test hypotheses related to the predictive capabilities of AI in anticipating arrhythmic events.
To gather further insights into the boundaries of AI for arrhythmia detection and prediction, we welcome articles addressing, but not limited to, the following themes:
- Advanced DL/AI methodologies for arrhythmia detection
- Innovative approaches for analyzing data from diverse modalities
- Integration of AI algorithms with wearable devices
- Predictive models for anticipating arrhythmic events
- Clinical trials and study protocols involving AI in arrhythmia care
- Systematic reviews of AI applications in cardiovascular medicine
- Technology and code developments for AI-based arrhythmia detection
We welcome Original Research, Brief Research Report, Clinical Trials, Study Protocols, Systematic Reviews, and Technology and Code articles that contribute to the advancement of knowledge in this transformative area of cardiovascular medicine. Together, let us pave the way for a future where AI plays a pivotal role in predicting and preventing arrhythmias, ultimately enhancing patient outcomes and reshaping the landscape of cardiovascular care.
Recent studies have demonstrated the potential of AI and Deep Learning (DL) algorithms in improving the accuracy of arrhythmia detection. Yet, there remains a significant gap in integrating these technologies seamlessly into clinical practice. Addressing this gap is crucial for enhancing patient outcomes and advancing the field of cardiovascular medicine.
This Research Topic aims to explore the transformative potential of AI and DL in the accurate detection and prediction of arrhythmias. The primary objective is to investigate how AI can be leveraged to process data from various devices, such as 12-lead ECG machines, Holter monitors, inpatient ECG monitoring devices, and wearables, to detect arrhythmias before clinical manifestation. Specific questions include:
- How can AI algorithms be optimized for real-time arrhythmia detection?
- What are the most effective DL methodologies for analyzing diverse data modalities?
The research will also test hypotheses related to the predictive capabilities of AI in anticipating arrhythmic events.
To gather further insights into the boundaries of AI for arrhythmia detection and prediction, we welcome articles addressing, but not limited to, the following themes:
- Advanced DL/AI methodologies for arrhythmia detection
- Innovative approaches for analyzing data from diverse modalities
- Integration of AI algorithms with wearable devices
- Predictive models for anticipating arrhythmic events
- Clinical trials and study protocols involving AI in arrhythmia care
- Systematic reviews of AI applications in cardiovascular medicine
- Technology and code developments for AI-based arrhythmia detection
We welcome Original Research, Brief Research Report, Clinical Trials, Study Protocols, Systematic Reviews, and Technology and Code articles that contribute to the advancement of knowledge in this transformative area of cardiovascular medicine. Together, let us pave the way for a future where AI plays a pivotal role in predicting and preventing arrhythmias, ultimately enhancing patient outcomes and reshaping the landscape of cardiovascular care.
Keywords: arrhythmias, artificial intelligence, deep learning, precision medicine
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
