Patents by Inventor Casey C. Bennett

Casey C. Bennett has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Clinical decision-making artificial intelligence object oriented system and method
    Patent number: 10755816
    Abstract: The present invention involves a system and method of providing decision support for assisting medical treatment decision-making. A patient agent software module processes information about a particular patient. A doctor agent software module processes information about a health status of a particular patient, beliefs relating to patient treatments, and the actual effects of treatment decisions. By filtering information over time from the patient agent into the doctor agent, a plurality of decision-outcome nodes are created and formed into a patient-specific outcome tree with the plurality of decision-outcome nodes. An optimal treatment is determined by evaluating the plurality of decision-outcome nodes with a cost per unit change function to output the optimal treatment.
    Type: Grant
    Filed: May 6, 2019
    Date of Patent: August 25, 2020
    Assignees: Indiana University Research and Technology Corporation, Centerstone Research Institute
    Inventors: Casey C. Bennett, Kris Hauser
  • CLINICAL DECISION-MAKING ARTIFICIAL INTELLIGENCE OBJECT ORIENTED SYSTEM AND METHOD
    Publication number: 20190333636
    Abstract: The present invention involves a system and method of providing decision support for assisting medical treatment decision-making. A patient agent software module processes information about a particular patient. A doctor agent software module processes information about a health status of a particular patient, beliefs relating to patient treatments, and the actual effects of treatment decisions. By filtering information over time from the patient agent into the doctor agent, a plurality of decision-outcome nodes are created and formed into a patient-specific outcome tree with the plurality of decision-outcome nodes. An optimal treatment is determined by evaluating the plurality of decision-outcome nodes with a cost per unit change function to output the optimal treatment.
    Type: Application
    Filed: May 6, 2019
    Publication date: October 31, 2019
    Inventors: Casey C. Bennett, Kris Hauser
  • Clinical decision-making artificial intelligence object oriented system and method
    Patent number: 10282512
    Abstract: The present invention involves a system and method of providing decision support for assisting medical treatment decision-making. A patient agent software module processes information about a particular patient. A doctor agent software module processes information about a health status of a particular patient, beliefs relating to patient treatments, and the actual effects of treatment decisions. By filtering information over time from the patient agent into the doctor agent, a plurality of decision-outcome nodes are created and formed into a patient-specific outcome tree with the plurality of decision-outcome nodes. An optimal treatment is determined by evaluating the plurality of decision-outcome nodes with a cost per unit change function to output the optimal treatment.
    Type: Grant
    Filed: July 7, 2014
    Date of Patent: May 7, 2019
    Assignees: Indiana University Research and Technology Corporation, Centerstone Research Institute
    Inventors: Casey C. Bennett, Kris Hauser
  • CLINICAL DECISION-MAKING ARTIFICIAL INTELLIGENCE OBJECT ORIENTED SYSTEM AND METHOD
    Publication number: 20150019241
    Abstract: The present invention involves a system and method of providing decision support for assisting medical treatment decision-making. A patient agent software module processes information about a particular patient. A doctor agent software module processes information about a health status of a particular patient, beliefs relating to patient treatments, and the actual effects of treatment decisions. By filtering information over time from the patient agent into the doctor agent, a plurality of decision-outcome nodes are created and formed into a patient-specific outcome tree with the plurality of decision-outcome nodes. An optimal treatment is determined by evaluating the plurality of decision-outcome nodes with a cost per unit change function to output the optimal treatment.
    Type: Application
    Filed: July 7, 2014
    Publication date: January 15, 2015
    Inventors: Casey C. Bennett, Kris Hauser