Artificial Intelligence: A Shifting Paradigm in Cardio-Cerebrovascular Medicine.
Vida AbediSeyed-Mostafa RazaviAyesha KhanVenkatesh AvulaAparna TompeAsma PoursoroushAlireza Vafaei SadrJiang LiRamin ZandPublished in: Journal of clinical medicine (2021)
The future of healthcare is an organic blend of technology, innovation, and human connection. As artificial intelligence (AI) is gradually becoming a go-to technology in healthcare to improve efficiency and outcomes, we must understand our limitations. We should realize that our goal is not only to provide faster and more efficient care, but also to deliver an integrated solution to ensure that the care is fair and not biased to a group of sub-population. In this context, the field of cardio-cerebrovascular diseases, which encompasses a wide range of conditions-from heart failure to stroke-has made some advances to provide assistive tools to care providers. This article aimed to provide an overall thematic review of recent development focusing on various AI applications in cardio-cerebrovascular diseases to identify gaps and potential areas of improvement. If well designed, technological engines have the potential to improve healthcare access and equitability while reducing overall costs, diagnostic errors, and disparity in a system that affects patients and providers and strives for efficiency.
Keyphrases
- artificial intelligence
- healthcare
- machine learning
- big data
- deep learning
- heart failure
- end stage renal disease
- palliative care
- quality improvement
- ejection fraction
- affordable care act
- chronic kidney disease
- endothelial cells
- atrial fibrillation
- type diabetes
- peritoneal dialysis
- prognostic factors
- left ventricular
- emergency department
- patient safety
- adipose tissue
- current status
- brain injury
- blood brain barrier
- acute heart failure