Key result
Digital health innovations in cardiovascular medicine, including AI and wearables, show significant potential but require improved explainability, cost-effectiveness, and regulatory oversight.
This review highlights key 2021 advancements in digital cardiovascular medicine, including AI diagnostics, big data prognostic models, and wearable devices, while noting gaps in explainability and regulatory oversight.
Alerts clinicians to barriers limiting digital CV tool adoption; leaves open needs for validation on explainability, cost, and oversight.
This article presents some of the most important developments in the field of digital medicine that have appeared over the last 12 months and are related to cardiovascular medicine. The article consists of three main sections, as follows: (i) artificial intelligence-enabled cardiovascular diagnostic tools, techniques, and methodologies, (ii) big data and prognostic models for cardiovascular risk protection, and (iii) wearable devices in cardiovascular risk assessment, cardiovascular disease prevention, diagnosis, and management. To conclude the article, the authors present a brief further prospective on this new domain, highlighting existing gaps that are specifically related to artificial intelligence technologies, such as explainability, cost-effectiveness, and, of course, the importance of proper regulatory oversight for each clinical implementation.
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Vardas et al. (2021) conducted a review in Cardiovascular disease. Digital health technologies was evaluated. Digital health innovations in cardiovascular medicine, including AI and wearables, show significant potential but require improved explainability, cost-effectiveness, and regulatory oversight.
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