Radiomics is the quantitative analysis of standard‐of‑care medical imaging; the information
obtained can be applied within clinical decision support systems to create diagnostic …

Radiomics, the high-throughput mining of quantitative image features from standard-of-care
medical imaging that enables data to be extracted and applied within clinical-decision …

Radiotherapy is an important modality used for the treatment of lung cancer. Seventy‐seven
percent of all patients with lung cancer have an evidence‐based indication for radiotherapy …

Despite widespread adoption of electronic health records (EHRs), most hospitals are not
ready to implement data science research in the clinical pipelines. Here, we develop …

OBJECTIVE. Radiologic texture is the variation in image intensities within an image and is
an important part of radiomics. The objective of this article is to discuss some parameters …

Introduction: In this review we describe recent developments in the field of radiomics along
with current relevant literature linking it to tumor biology. We furthermore explore the …

This paper reviews objective methods for prognostic modelling of cancer tumours located
within radiology images, a process known as radiomics. Radiomics is a novel feature …

Purpose One of the major hurdles in enabling personalized medicine is obtaining sufficient
patient data to feed into predictive models. Combining data originating from multiple …

Medical activity requires responsibility not only based on knowledge and clinical skills, but
also in managing a vast amount of information related to patient care. It is through the …

Precision medicine is the future of health care: please watch the animation at https://vimeo.
com/241154708. As a technology-intensive and-dependent medical discipline, oncology will …