Digitized healthcare technologies provide healthcare enhancements in the field of medical digital technologies and they also provide better accessibility. The research study indicates that digital healthcare is combining or involving more than one academic discipline like biology science, cognitive science, medical science, biochemistry neuroscience, etc. The complete healthcare technologies are based on computational intelligence, artificial intelligence, etc. This chapter gives an overview of the current and future of healthcare technologies and up-to-date research in the area of digital healthcare intelligence. For artificial intelligence or computational intelligence, healthcare is one of the most promising application areas. This review highlights all about applications of artificial intelligence, telemedicine, blockchain technologies, the internet of things, and big data for solving the problems in medical education and healthcare technologies.
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Several studies highlight the effect of computational intelligence on healthcare facilities which may improve prognosis, diagnostics and care planning. Nowadays computational Intelligence system are becoming an integral part of healthcare services and soon in the future, it will be incorporated into various aspects of clinical care. Computational intelligence is the study of intelligent systems which includes intelligent synthetic characters, man and machine interface, picture archiving, communication systems that have flexibility towards changing environments and objectives.
In the last few years, various Computational Intelligence based technologies introduced by the researchers for the medical and healthcare act to increase digital knowledge-based systems (DKBS). This examination discusses the latest movements and success in the zone of digital health skills. It completely includes the use of AI, Big Data, BlockChain technology and Telemedicine for clear problems in the healthcare structure. The writing search shows that digital health skills are on extremely required because of pandemic situations as well as covid-19 and the extent of covid-19 through all. The recent trend of healthcare technologies includes the use of 3D printing equipment for the production of organ models, everlasting implants, medical equipment testing, modified 3D drug printing, and medical learning.
Computational Intelligence for Healthcare: Computational Intelligence theory and research of smart computer systems that expand repeatedly by practice. In the previous few years, many CI methods are proposed by researchers to develop the smart system in the area of a health monitoring system. Applications of computational intelligence in multiple areas like discovering new diseases, finding predictive biomarkers and treatments. Artificial Intelligent Systems (AIS) offers great improvements in the area of healthcare assists with machine learning, wireless communication, data analysis, computing computer, mobile computer, etc. In computational intelligence multiple paradigms have to discuss like bio-inspired computing, in this field we will discuss about various technologies in this chapter:
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Artificial Neutral Network (ANN)
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Support Vector Machine (SVM)
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Deep Learning (DL)
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Genetic Algorithms (GA)
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Evolutionary Computing (EC)
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DNA Computing,
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Artificial Intelligence and Analytics(AIA)
The above are increasingly changing the healthcare system and medical system in a remarkable method of using functional procedures from countless branches of information technology (IT).
Artificial Intelligence for Healthcare: Artificial Intelligence helps to save lives and helps to grow technologies used for Digital Healthcare. It even now affects multiple human accomplishments at all social stages. Artificial Intelligence is more expanding worldwide. Applications related to Artificial Intelligence in healthcare and medicine for the public perception are extended personalized medicine, replacement or enhancement etc. In this following topic will be covered-
These are the recent technological trends in the field of computational intelligence.
Radiology is one of the main areas of artificial intelligence in healthcare applications. With self-training of digital imaging machines and rapid analysis, increasing the efficiency of medical practice skills. This is based on learning algorithms that can integrate and interact with MRI equipment to improve image reshaping. without any disturbance. Some of Artificial Intelligence applications will be discussed in this chapter
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Ultrasound imaging
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CT imaging
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MRI
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Cancer Diagnosis
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Drug development
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Genomics etc.