Abstract: Embodiments herein describe systems and methods for automated clinical image quality assessment and uses thereof are provided. Many embodiments provide instructions and feedback for clinically relevant image quality. Several embodiments provide methods to generate a model to assess image quality.

Abstract: The present disclosure provides methods and systems for predicting future disease states of a subject. An exemplary method comprises: (a) obtaining an image from an imaging device, wherein the image indicates a disease associated with the subject; (b) generating an annotation mask for a current disease state; (c) processing the image data and the annotation mask to generate a temporal sequence of images with corresponding predicted disease states; and (d) outputting the temporal sequence of images and disease analytics within a graphical user interface (GUI).

Abstract: A method of matching patients and health care providers includes registering a patient user and associating the patient user with a unique identifier. Information about the patient user is obtained and the patient user information is associated with the unique identifier. A health care provider can be registered and information about the health care provider can be obtained.