TROY, N.Y. -- A new computer-based technique could eliminate hours of manual adjustment associated with a popular cancer treatment.

In a paper published in the Feb. 7 issue of Physics in Medicine and Biology, researchers from Rensselaer Polytechnic Institute describe an approach that has the potential to automatically determine acceptable radiation plans in a matter of minutes, without compromising the quality of treatment.

Richard Radke, assistant professor of electrical, computer, and systems engineering at Rensselaer, is leading a team of engineers and medical physicists to develop a "machine learning" algorithm that could cut hours from the process.

A subfield of artificial intelligence, machine learning is based on the development of algorithms that allow computers to learn relationships in large datasets from examples. Radke and his coworkers have tested their algorithm on 10 prostate cancer patients. They found that for 70 percent of the cases, the algorithm automatically determined an appropriate radiation therapy plan in about 10 minutes.