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Impact of Artificial Intelligence in health care: a study

Chapter
Publication Date:
2021
abstract:
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).
Iris type:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Artificial intelligence (AI); Health care; Machine learning; Medical imaging; Classification accu
List of contributors:
Bhoi, AKASH KUMAR; Barsocchi, Paolo
Authors of the University:
BARSOCCHI PAOLO
Handle:
https://iris.cnr.it/handle/20.500.14243/441689
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/441689/144489/prod_465944-doc_183140.pdf
https://iris.cnr.it//retrieve/handle/20.500.14243/441689/144496/prod_465944-doc_183443.pdf
Book title:
Hybrid Artificial Intelligence and IoT in Healthcare
Published in:
INTELLIGENT SYSTEMS REFERENCE LIBRARY
Series
  • Overview

Overview

URL

https://link.springer.com/chapter/10.1007/978-981-16-2972-3_15
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