Key result
Artificial intelligence applied to cardiac telerehabilitation through wearable monitoring and support systems can improve the detection of physical activities and provide automated triage and tailored recommendations.
Why the study?
The broad application of cardiac telerehabilitation following the coronavirus pandemic faces difficulties requiring innovation, for which artificial intelligence may offer solutions.
Artificial intelligence has the potential to enhance cardiac telerehabilitation by improving fitness tracking, functional capacity prediction, and automated triage, though ethical and practical challenges must be addressed.
Supports cautious exploration of AI telerehabilitation tools; leaves open need for prospective validation and ethical frameworks.
Cardiac telerehabilitation is a method that uses digital technologies to deliver cardiac rehabilitation from a distance. It has been shown to have benefits to improve patients' disease outcomes and quality of life, and further reduce readmission and adverse cardiac events. The outbreak of the coronavirus pandemic has brought considerable new challenges to cardiac rehabilitation, which foster cardiac telerehabilitation to be broadly applied. This transformation is associated with some difficulties that urgently need some innovations to search for the right path. Artificial intelligence, which has a high level of data mining and interpretation, may provide a potential solution. This review evaluates the current application and limitations of artificial intelligence in cardiac telerehabilitation and offers prospects.
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Su et al. (2022) conducted a review in Cardiovascular diseases. Artificial intelligence in cardiac telerehabilitation was evaluated. Artificial intelligence applied to cardiac telerehabilitation through wearable monitoring and support systems can improve the detection of physical activities and provide automated triage and tailored recommendations.
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