Abstract:
Apparatus, systems, and methods to improve automated identification, monitoring, processing, and control of a condition impacting a patient using image data and artificial intelligence classification are disclosed. An example image processing apparatus includes an artificial intelligence classifier to: process first image data for a patient from a first time to determine a first classification result indicating a first severity of a condition for the patient; and process second image data for the patient from a second time to determine a second classification result indicating a second severity of the condition for the patient. The example image processing apparatus includes a comparator to compare the first classification result and the second classification result to determine a change and a progression of the condition associated with the change. The example image processing apparatus includes an output generator to trigger an action when the progression corresponds to a worsening of the condition.
Abstract:
A flexible x-ray detector and a method and system of using the same to acquire one or more x-ray images are disclosed. The flexible x-ray detector apparatus includes a curvature-fixing holder, which has a predetermined curvature. The curvature-fixing holder has a first end and a second end, which has a perimeter defining an internal slot or recess. The flexible detector is configured to be inserted into the recess of the curvature-fixing holder and follows the predetermined curvature of the recess. The flexible x-ray detector may further include a scintillator and a flexible substrate. A method of using a flexible x-ray detector apparatus as well as a system including one or more flexible x-ray detector apparatus are also disclosed.
Abstract:
Apparatus, systems, and methods to improve automated identification, monitoring, processing, and control of a condition impacting a patient using image data and artificial intelligence classification are disclosed. An example image processing apparatus includes an artificial intelligence classifier to: process first image data for a patient from a first time to determine a first classification result indicating a first severity of a condition for the patient; and process second image data for the patient from a second time to determine a second classification result indicating a second severity of the condition for the patient. The example image processing apparatus includes a comparator to compare the first classification result and the second classification result to determine a change and a progression of the condition associated with the change. The example image processing apparatus includes an output generator to trigger an action when the progression corresponds to a worsening of the condition.