Artificial Intelligence in Oncology
Saber Boutayeb () and
Anass Majbar ()
Additional contact information
Saber Boutayeb: University Mohamed V, Faculty of Medicine and Pharmacy, Medical Oncology
Anass Majbar: University Mohammed V, National Oncology Institute
Chapter Chapter 8 in Disease Prevention and Health Promotion in Developing Countries, 2020, pp 97-104 from Springer
Abstract:
Abstract Cancer is a very challenging disease. The medical treatment of cancer has to face the ability of cancer cells to develop a multiple resistance mechanism. Artificial intelligence is the simulation of human intelligence processes by machines in order to perform tasks normally requiring human intelligence, such as decision-making or visual perception. The artificial intelligence in healthcare could improve disease diagnosis, management, and the development of effective therapies. We will focus in this chapter on how artificial intelligence is becoming a reality in oncology daily practice.
Date: 2020
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-34702-4_8
Ordering information: This item can be ordered from
http://www.springer.com/9783030347024
DOI: 10.1007/978-3-030-34702-4_8
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().