More than 50% of cancer patients are treated with radiotherapy, either exclusively or in
combination with other methods. The planning and delivery of radiotherapy treatment is a …

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 …

“... AI commonly handles tasks that are essential, but limited enough in their scope so as to
leave the primary responsibility of patient management with a human doctor.” the search …

Data-driven tools and techniques, particularly machine learning methods that underpin
artificial intelligence, offer promise in improving healthcare systems and services. One of the …

Physicians in everyday clinical practice are under pressure to innovate faster than ever
because of the rapid, exponential growth in healthcare data.“Big data” refers to extremely …

We present two online experiments investigating trust in artificial intelligence (AI) as a
primary and secondary medical diagnosis tool and one experiment testing two methods to …

A common privacy issue in traditional machine learning is that data needs to be disclosed
for the training procedures. In situations with highly sensitive data such as healthcare …

Purpose Noticing the fast growing translation of artificial intelligence (AI) technologies to
medical image analysis this paper emphasizes the future role of the medical physicist in this …

Medical technology powered by artificial intelligence is quickly develo** into useful
clinical practice solutions. Deep learning algorithms can handle the growing volumes of data …

When training a machine learning model, it is standard procedure for the researcher to have
full knowledge of both the data and model. However, this engenders a lack of trust between …