Artificial Intelligence in e-Health: A Review of Current Status in Healthcare and Future Possible Scope of Research

ABSTRACT

Artificial Intelligence (AI) has been emerging promptly currently due to software algorithms, hardware employment, and applications in many sectors. The Healthcare sector is drawing the attention of healthcare professionals and researchers from a multidisciplinary viewpoint like administration, business, finance, record keeping, decision making, and services. Extensive usage of electronic health records gives rise to an immense quantity of clinical data. For patient welfare, disease diagnosis is vital for appropriate treatment but human inaccuracy may obstruct precise diagnosis because of complex medical information. The usage of information and communication technologies together evolved e-health. Integration of artificial intelligence in e-health smoothens the various challenges faced by healthcare systems. In this review, the authors have attempted to summarize the applications of artificial intelligence in various fields of e-health Improving electronic health records, disease diagnosis and decision making, remote patient monitoring, and telehealth. Healthcare experts can understand how well AI works and supports in refining task execution with increased efficiency, minimizing the pressure of workload, and optimizing resources, best example has been observed in the pandemic COVID-19 scenario. More work and innovations will be endured by researchers with encouragement to thrust the boundary and it will broaden the latitude of healthcare sectors as well as AI algorithms © 2022 Sapna Katiyar and Artika Farhana. This open-access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license