EconPapers    
Economics at your fingertips  
 

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 ().

 
Page updated 2026-05-12
Handle: RePEc:spr:sprchp:978-3-030-34702-4_8