Artificial Intelligence in Oncology

Elif Guler Kazanci; Deniz Guven

doi:10.1201/9781003531449-13

Artificial Intelligence in Oncology

Elif Guler Kazanci
, Deniz Guven

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Artificial intelligence (AI) is characterized as a coded machine that can gain knowledge and understand relationships and patterns among inputs and outputs and use this information effectively for decision-making on labeled input data [McCarthy et al., 2006]. Machine learning (ML) and deep learning (DL) are the most common methods for putting AI into action, and the terms are sometimes used interchangeably. In the area of computer science, ML is a branch of AI, and DL is a subcategory of ML that is centered on deep artificial neural networks.

Original language	English
Title of host publication	The Impact of Artificial Intelligence on Healthcare Industry
Subtitle of host publication	Volume 2: Clinical Applications
Publisher	CRC Press
Pages	262-274
Number of pages	13
ISBN (Electronic)	9781040439401
ISBN (Print)	9781032830513
DOIs	https://doi.org/10.1201/9781003531449-13
Publication status	Published - 1 Jan 2025
Externally published	Yes

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10.1201/9781003531449-13

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Artificial Intelligence in Oncology

Abstract

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