A simple explanation of artificial intelligence is the discipline of making machines that can think like humans. It is a “smart” technology that can process large amounts of data, such as numbers, algorithms, and other input, to recognize patterns and use real-time data to make decisions like humans. Unlike humans, it has the capacity to process significant amounts of data, but what it cannot replace currently is the emotional depth, intuition, and unpredictability of human creativity.
Addressing barriers to clinical trial participation is critical to accelerate progress toward more effective (and less toxic) cancer treatments and provide patients with access to novel treatment approaches. Receiving treatment in a clinical trial is considered by many to be high-quality cancer care; the National Comprehensive Cancer Network Clinical Practice Guidelines in Oncology state that “the best management for any cancer patient is in a clinical trial.
More than 1.6 million people are diagnosed with cancer each year. Despite the different treatment options available for cancer, many individuals refuse treatment for various reasons. However, little is known about the cumulative group of individuals who refuse treatment.