Capobianco Enrico, Dominietto Marco
The Jackson Laboratory, 10 Discovery Drive, Farmington, CT 06032, USA.
Paul Scherrer Institut, Forschungsstrasse 111, 5232 Villigen, Switzerland.
J Clin Med. 2023 Jan 5;12(2):438. doi: 10.3390/jcm12020438.
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.
在回顾和讨论数据科学在肿瘤学中的潜力时，我们强调医学成像和放射组学是衡量人工智能（AI）和机器学习（ML）发展影响的主要背景框架。鉴于当前的障碍和局限性，我们设想了一些领域和研究方向，在这些领域和方向中，放射组学将变得更加重要。
