To help computers provide faster "second opinions" on mammogram images showing suspicious-looking breast masses, medical physicists at Duke University are employing a Google-like approach that retrieves useful information from an existing mammogram database within three seconds. Rather than comparing the mammogram image in question to every image of breast cancer in a computer database, the new approach compares the mammogram in question to selected images that are most highly ranked for their information content. This is analogous to how a Google search first returns a list of only those websites that it determines to have the most important and useful...