Document Type

Article

Publication Date

1-5-2023

Keywords

JGM

JAX Source

J Clin Med. 2023;12(2).

ISSN

2077-0383

PMID

36675367

DOI

https://doi.org/10.3390/jcm12020438

Grant

EC acknowledges support from JAX Computational Sciences, JAX Cancer Center (JAXCC) and NCI CCSG (P30CA034196) and support from grant NSF 19-500, DMS 1918925/1922843.

Abstract

While reviewing and discussing the potential of data science in oncology, we emphasize medical imaging and radiomics as the leading contextual frameworks to measure the impacts of Artificial Intelligence (AI) and Machine Learning (ML) developments. We envision some domains and research directions in which radiomics should become more significant in view of current barriers and limitations.

Comments

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

Download

Share

COinS