Abstract: The present invention is a method and apparatus for increasing the usefulness of visual knowledge in a number of applications, and further includes the display and use of sympticons in a visual interface. It distills the relationships between characteristics (symptoms or findings) and hypotheses (diagnoses) into database form, thereby organizing visual information in a manner suitable to aid the user in the investigation of the various hypotheses.

Abstract: Disclosed is a system and method to transform a complex diagnostic and management decision-making process found in western medicine into a novel and unique medical tool comprising a novel diagnostic decision support system and therapeutic optimization. The technologies result in more accurate diagnoses and more effective and appropriate therapeutic plans for individual patients.

Abstract: The present invention is a method and apparatus for increasing the usefulness of visual knowledge in a number of applications. It distills the relationships between characteristics and hypotheses into database form, thereby organizing visual information in a manner suitable to aid the user in the investigation of the various hypotheses (medical diagnosis, pill identification, plant/animal identification, cause of death, cause of accident, etc.). The invention sidesteps unresolved issues around knowledge engineering by not automating a decision making process. Rather, the present invention utilizes a relational database to dynamically respond to textual and visual findings as an aid to assist a user reaching a reasoned conclusion based upon information available by direct observation and comparison with stored image and textual data.

Abstract: The present invention is a method and apparatus for increasing the usefulness of visual knowledge in a number of applications. It distills the relationships between characteristics and hypotheses into database form, thereby organizing visual information in a manner suitable to aid the user in the investigation of the various hypotheses (medical diagnosis, pill identification, plant/animal identification, cause of death, cause of accident, etc.). The invention sidesteps unresolved issues around knowledge engineering by not automating a decision making process. Rather, the present invention utilizes a relational database to dynamically respond to textual and visual findings as an aid to assist a user reaching a reasoned conclusion based upon information available by direct observation and comparison with stored image and textual data.