TY - JOUR
T1 - Artificial intelligence
T2 - a shifting paradigm in cardio-cerebrovascular medicine
AU - Abedi, Vida
AU - Razavi, Seyed Mostafa
AU - Khan, Ayesha
AU - Avula, Venkatesh
AU - Tompe, Aparna
AU - Poursoroush, Asma
AU - Sadr, Alireza Vafaei
AU - Li, Jiang
AU - Zand, Ramin
N1 - Publisher Copyright:
© 2021 by the authors.
PY - 2021/12/1
Y1 - 2021/12/1
N2 - 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.
AB - 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.
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U2 - 10.3390/jcm10235710
DO - 10.3390/jcm10235710
M3 - Review article
C2 - 34884412
AN - SCOPUS:85120933637
SN - 2077-0383
VL - 10
JO - Journal of Clinical Medicine
JF - Journal of Clinical Medicine
IS - 23
M1 - 5710
ER -