Document - Impact of Artificial Intelligence in health care: a study

2021

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Impact of Artificial Intelligence in health care: a study

Bairagya D., Tripathy H. K., Bhoi A. K., Barsocchi P.

Health care Medical imaging Artificial intelligence (AI) Classification accuracy Machine learning

The acceptance of AI in health care relates to the analysis of the huge amount of information that is generated each day and the limitation of physicians to address these needs. The growth of data complexity in the medical domain refers to the increasing usage of artificial intelligence in that sector. Some vital functionaries include care providers, diagnostic recommendation systems, and adherence of patients among others. Likewise, there exist several applications where AI can be successfully deployed in clinical applications. In this study, the role of AI in this critical healthcare sector is highlighted. Some popular existing research works in the healthcare domain are discussed. Software projects involving AI in this sector are summarized. Finally, a real-time implementation of medical imaging using different computational methods is demonstrated. Maximum accuracy of 94.2% was noted for prostate cancer. It is also found that it takes maximum time for the analysis of lung cancer (2.43 s) and minimum for brain cancer (1.12 s).

Source: Hybrid Artificial Intelligence and IoT in Healthcare, edited by Bhoi A.K., Mallick P.K., Mohanty M.N., de Albuquerque V.H.C., pp. 311–328, 2021

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@inbook{oai:it.cnr:prodotti:465944,
	title = {Impact of Artificial Intelligence in health care: a study},
	author = {Bairagya D. and Tripathy H. K. and Bhoi A. K. and Barsocchi P.},
	doi = {10.1007/978-981-16-2972-3_15},
	booktitle = {Hybrid Artificial Intelligence and IoT in Healthcare, edited by Bhoi A.K., Mallick P.K., Mohanty M.N., de Albuquerque V.H.C., pp. 311–328, 2021},
	year = {2021}
}