System and method for performing probabilistic classification and decision support using multidimensional medical image databases

A method for assigning probability classification values to a set of identified classes based on a set of measurements taken during a medical procedure of a patient in order to provide decision support for rendering a medical diagnosis, the method comprising:

• sensing one or more medical measurements using a sensor and receiving data from the sensor representing the one or more medical measurements;
• analyzing the received data by applying decision rules and training models derived from knowledgebase data and prior physician input;
• calculating probability values for the identified classes based on the analysis;
• determining sensitivity values for the one or more medical measurements based on the analysis;
• and
• rendering a medical diagnosis for the patient using the probability values for each identified class and the sensitivity measurements for the one or more measurements,
• wherein the identified classes include classifications for one or more diseases, and the one or more diseases include Dilated Cardiomyopathy (DCM).

A method for assigning probability classification values to a set of identified classes based on a set of measurements taken during a medical procedure of a patient in order to provide decision support for rendering a medical diagnosis, the method comprising:

• sensing one or more medical measurements using a sensor and receiving data from the sensor representing the one or more medical measurements;
• analyzing the received data by applying decision rules and training models derived from knowledgebase data and prior physician input;
• calculating probability values for the identified classes based on the analysis;
• determining sensitivity values for the one or more medical measurements based on the analysis;
• and
• rendering a medical diagnosis for the patient using the probability values for each identified class and the sensitivity measurements for the one or more measurements,
• wherein the identified classes include a non-diseased classification, and wherein the non-diseased classification includes non-Dilated Cardiomyopathy (non-DCM).

A method for assigning probability classification values to a set of identified classes based on a set of measurements taken during a medical procedure of a patient in order to provide decision support for rendering a medical diagnosis, the method comprising:

• sensing one or more medical measurements using a medical sensor and receiving data from the medical sensor representing the one or more medical measurements, wherein the medical sensor is an ultrasound transducer;
• analyzing the received data by applying decision rules and training models derived from knowledgebase data and prior physician input;
• calculating probability values for the identified classes based on the analysis;
• determining sensitivity values for the one or more medical measurements based on the analysis;
• and
• rendering a medical diagnosis for the patient using the probability values for each identified class and the sensitivity measurements for the one or more measurements.

A method for assigning probability classification values to a set of identified classes based on a set of measurements taken during a medical procedure of a patient in order to provide decision support for rendering a medical diagnosis, the method comprising:

• sensing one or more medical measurements using a sensor and receiving data from the sensor representing the one or more medical measurements;
• analyzing the received data by applying decision rules and training models derived from knowledgebase data and prior physician input;
• calculating probability values for the identified classes based on the analysis;
• determining sensitivity values for the one or more medical measurements based on the analysis;
• and
• rendering a medical diagnosis for the patient using the probability values for each identified class and the sensitivity measurements for the one or more measurements, wherein the medical procedure is an echocardiogram examination.