Radiomics: the bridge between medical imaging and personalized medicine
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 …
medical imaging that enables data to be extracted and applied within clinical-decision …
Translation of AI into oncology clinical practice
Artificial intelligence (AI) is a transformative technology that is capturing popular imagination
and can revolutionize biomedicine. AI and machine learning (ML) algorithms have the …
and can revolutionize biomedicine. AI and machine learning (ML) algorithms have the …
[HTML][HTML] Tracking tumor biology with radiomics: a systematic review utilizing a radiomics quality score
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 …
with current relevant literature linking it to tumor biology. We furthermore explore the …
[HTML][HTML] Distributed learning: develo** a predictive model based on data from multiple hospitals without data leaving the hospital–a real life proof of concept
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 …
patient data to feed into predictive models. Combining data originating from multiple …
Federated learning for multi-center imaging diagnostics: a simulation study in cardiovascular disease
Deep learning models can enable accurate and efficient disease diagnosis, but have thus
far been hampered by the data scarcity present in the medical world. Automated diagnosis …
far been hampered by the data scarcity present in the medical world. Automated diagnosis …
Decision support systems in oncology
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 …
com/241154708. As a technology-intensive and-dependent medical discipline, oncology will …
Development and validation of a radiomic signature to predict HPV (p16) status from standard CT imaging: a multicenter study
Objectives: Human papillomavirus (HPV) positive oropharyngeal cancer (oropharyngeal
squamous cell carcinoma, OPSCC) is biologically and clinically different from HPV negative …
squamous cell carcinoma, OPSCC) is biologically and clinically different from HPV negative …
Magnetic resonance‐guided radiation therapy: a review
Magnetic resonance‐guided radiation therapy (MRgRT) is a promising approach to
improving clinical outcomes for patients treated with radiation therapy. The roles of image …
improving clinical outcomes for patients treated with radiation therapy. The roles of image …
[HTML][HTML] Machine learning applications in radiation oncology
Abstract Machine learning technology has a growing impact on radiation oncology with an
increasing presence in research and industry. The prevalence of diverse data including 3D …
increasing presence in research and industry. The prevalence of diverse data including 3D …
[HTML][HTML] Develo** and validating a survival prediction model for NSCLC patients through distributed learning across 3 countries
Purpose Tools for survival prediction for non-small cell lung cancer (NSCLC) patients
treated with chemoradiation or radiation therapy are of limited quality. In this work, we …
treated with chemoradiation or radiation therapy are of limited quality. In this work, we …