EC Pharmacology and Toxicology

Artificial intelligence (AI) in medicine consists in using machine learning models to search for medical data and uncover insights in order to improve overall outcomes and patient experiences. AI is already an integrated part of modern healthcare and various algorithms and other applications that it are currently being developed in order to provide an improved clinical decision support and imaging analysis [1].

It is indeed true that not all medical areas are prone to use AI in their everyday practice, but we believe that cardiology is an exception. The potential that AI has in the future of cardiology is once again demonstrated through a series of recent developments used nowadays to predict overall cardiovascular outcomes and one example in this regard is represented by a series of wearable devices that can correctly detect various arrhythmias and are even recommended by the current clinical practice guidelines [2].

1. Amisha Malik P., et al. “Overview of artificial intelligence in medicine”. Journal of Family Medicine and Primary Care 7 (2019): 2328-2331.
2. L Karatzia., et al. “Artificial intelligence in cardiology: Hope for the future and power for the present”. Frontiers in Cardiovascular Medicine 9 (2022).
3. Z Li., et al. “A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects”. In IEEE Transactions on Neural Networks and Learning Systems 12 (2022): 6999-7019.
4. V Ploscaru., et al. “Artificial intelligence and cloud based platform for fully automated PCI guidance from coronary angiography-study protocol”. PLoS One (2022).