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.