The ability to inexpensively predict events such as stroke and heart attack is something of a holy grail for cardiologists, and a new study presented at this year’s annual meeting of the Radiological Society of North American (RSNA) provides just that capability. A study of an algorithm developed to examine a single chest X-ray suggests that the data generated by the algorithm can be as effective in establishing the patient’s risk of these events as a standard approach that relies on information that isn’t always readily available to the clinician.