Patent ID: 11935235
Assignee: UNIVERSITY OF IOWA RESEARCH FOUNDATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A system for diagnosing a disease condition in a patient, the system comprising:
one or more computer processors on one or more computers;
a computer readable medium on the one or more computers;
an object detection model component stored on the computer readable medium, the object detection model component comprising a set of parameters of a supervised procedure that is trained to:
receive an input image, and
output a probability that the input image contains an object of interest at each of one or more locations within the input image;

an automated diagnostic model component stored on the computer readable medium, the automated diagnostic model component comprising a set of parameters of a diagnostic model that is trained to:
receive the probability that the input image contains the object of interest at each of the one or more locations within the input image, and
output a probabilistic diagnosis of a disease condition depicted in a input image; and

a diagnostic system component stored on the computer readable medium, the diagnostic system component containing instructions configured to cause the one or more computer processors to perform steps comprising:
receiving the input image of the portion of the body of the patient,
passing the input image to the object detection model component,
receiving, from the object detection model component, the probability that the input image contains the object of interest at each of the one or more locations within the input image,
passing, to the automated diagnostic model component, the probability that the input image contains the object of interest at each of the one or more locations within the input image,
receiving, from the automated diagnostic model component, the probabilistic diagnosis of the disease condition for the input image, and
outputting the probabilistic diagnosis of the disease condition.