Home /Research /Cybersecurity-based artificial intelligence healthcare management system
OTHER

Cybersecurity-based artificial intelligence healthcare management system

Panem Charanarur, Srinivasa Rao Gundu, Monalisa Sahu

Year
2024
Citations
1

Abstract

Coming of age is a “self-driven technology set” (SDTS) era. Artificial intelligence (AI)-based society not only improves the quality of life but also provides a solution to many existing issues. The elite society would be a data science–driven society. Data science is a scientific, statistical, and technological field of data and its related aspects. AI could be used to detect health issues more objectively. In this case, a human-in-the-loop system and intelligent technology may quickly identify the sickness and reduce the amount of time needed for therapy. The intensity of the crisis and the overall effect of it might be reduced if medical treatment is provided promptly. Because of the strain that COVID-19 has placed on several healthcare systems, these systems are now susceptible to a variety of cybersecurity risks. AI can solve issues about cybersecurity, which might result in an in-the-loop solution for mental health illnesses that is trustworthy and not just secure but also reliable. The efficiency of society would be attained with the help of AI-based IoT-connected cloud-oriented robotic process atomization. The consistent arrangement of such technologies set would work about and precede the other in order. These technologies are not comparable and there may be a set of some technologies for which neither technology precedes the other collection of technologies. This chapter will bring out glimpses of the upcoming technological era, their design, and techniques along with the needs and gaps.

Keywords

Computer scienceSet (abstract data type)Emerging technologiesHealth careField (mathematics)Process (computing)Computer securityData scienceBig dataArtificial intelligence

Related papers

Browse all OTHER papers