Conclusion
Algorithms using AI to interpret ECGs in various new ways have been developed. While still much work needs to be done, these technologies have shown enormous potential in a short span of time. With further advancements and continuous research, these novel ways of interpretation may well become part of everyday clinical workflow. However, rigorous testing is key with development of new models. Testing datasets need to be large to show accurate results, especially when several different outputs are being considered. Finally, the models need to undergo appropriate external validation and clinical trials to note generalizable benefits in diverse populations when compared to the standard of care. This may also help alleviate some of the current hesitance in clinicians from acceptance of AI tools.