Patent ID: 7912528

Claim:
A method for providing automatic diagnosis and decision support for cardiac imaging, comprising: obtaining information from image data of a heart of a patient including a myocardial wall; obtaining information from non-image data records of the patient; dividing the image data of the myocardial wall into a plurality of segments; automatically classifying a condition of the heart using the obtained information and by using a machine learning method, wherein classifying the condition of the heart includes performing a wall motion analysis of the myocardial wall for each of the plurality of segments; automatically determining one or more suggested courses of treatment based on the classified condition of the heart; automatically determining a probability of success for each of the suggested courses of treatment; and presenting the classified condition, the one or more suggested courses of treatment, and the determined probabilities of success to a user as diagnosis and decision support, wherein the classified condition includes a wall motion score for each of the plurality of myocardial wall segments.