Abstract

Artificial neural networks (ANNs) as artificial intelligence have unprecedented utility in medicine. The capacity of ANNs to analyze large amounts of data and detect patterns warrants application in analysis of medical images, classification of tumors, and prediction of survival. Some of the systems already have been in clinical use, such as C.Net and BioSleep, among others. However, evidence for ANNs use in medicine is not very solid; thus, it is imperative for clinicians to have a complete understanding of ANNs' use and limitations for their effective applications. This chapter discusses the unique aspects of ANNs applications for most common types of cancers.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.