Digital health innovation in cardiology

Ladejobi, Adetola; Cruz, Jessica; Attia, Zachi I.; Zyl, Martin van; Tri, Jason; López-Jiménez, Francisco; Noseworthy, Peter A.; Friedman, Paul A.; Kapa, Suraj; Asirvatham, Samuel J.

doi:10.1016/j.cvdhj.2020.07.003

Cited by 6 publications

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Further, it uses various algorithms to analyse the data automatically. We can see that it is useful to monitor the virus and to avoid it from the global spread [28] , [29] , [30] . Thus, it could also help develop a comprehensive understanding of COVID-19.…”

Section: Significant Capabilities Of Ai For Taking the Challenges Of mentioning

confidence: 99%

Applications of Artificial Intelligence (AI) for cardiology during COVID-19 pandemic

Haleem¹,

Javaid²,

Singh³

et al. 2021

Sustainable Operations and Computers

View full text Add to dashboard Cite

Background and aims Artificial Intelligence (AI) shows extensive capabilities to impact different healthcare areas during the COVID-19 pandemic positively. This paper tries to assess the capabilities of AI in the field of cardiology during the COVID-19 pandemic. This technology is useful to provide advanced technology-based treatment in cardiology as it can help analyse and measure the functioning of the human heart. Methods We have studied a good number of research papers on Artificial Intelligence on cardiology during the COVID-19 pandemic to identify its significant benefits, applications, and future scope. AI uses artificial neuronal networks (ANN) to predict. In cardiology, it is used to predict the survival of a COVID-19 patient from heart failure. Results AI involves complex algorithms for predicting somewhat successful diagnosis and treatments. This technology uses different techniques, such as cognitive computing, deep learning, and machine learning. It is incorporated to make a decision and resolve complex challenges. It can focus on a large number of diseases, their causes, interactions, and prevention during the COVID-19 pandemic. This paper introduces AI-based care and studies its need in the field of cardiology. Finally, eleven major applications of AI in cardiology during the COVID-19 pandemic are identified and discussed. Conclusions Cardiovascular diseases are one of the major causes of death in human beings, and it is increasing for the last few years. Cardiology patients' treatment is expensive, so this technology is introduced to provide a new pathway and visualise cardiac anomalies. AI is used to identify novel drug therapies and improve the efficiency of a physician. It is precise to predict the outcome of the COVID-19 patient from cardiac-based algorithms. Artificial intelligence is becoming a popular feature of various engineering and healthcare sectors, is thought for providing a sustainable treatment platform. During the COVID-19 pandemic, this technology digitally controls some processes of treatments.

show abstract

Section: Significant Capabilities Of Ai For Taking the Challenges Of mentioning

confidence: 99%

Applications of Artificial Intelligence (AI) for cardiology during COVID-19 pandemic

Haleem¹,

Javaid²,

Singh³

et al. 2021

Sustainable Operations and Computers

View full text Add to dashboard Cite

show abstract

“…In light of this, the AI-enabled ECG algorithm has received emergency use authorization by the Food and Drug Administration to screen patients with confirmed or suspected coronavirus disease 2019 (COVID-19) disease for left ventricular dysfunction (LVD). 3,4 Our objective was to evaluate the effect of ECG characteristics on AI-ECG performance among ED patients.…”

mentioning

confidence: 99%