Abstract: A method and a system of estimating a pose of a subject is disclosed. The method includes receiving a video stream from an imaging device in real-time; applying a trained computational model to extract feature maps from images received from the video stream; determining initial estimates of heatmaps and part affinity fields (pafs) from the extracted feature maps; refining the initial estimates of the heatmaps and pafs to output refined heatmaps and pafs; refining the heatmaps and pafs upon completing the refining of the initial estimates using a self-attention module; detecting keypoints on the heatmaps; and performing graph matching on the pafs to group the keypoints to different subjects.

Abstract: A method for identifying patients for discharge from a general ward in a hospital, including: calculating a transition score of a patient based upon patient vital sign information; computing a TS upper bound value and a TS lower bound value based upon a set of TS values in a TS time window; determining if a length of stay of the patient is greater than a first time window, greater than an expected length of stay, and greater than a lower evaluation window; determining if a current TS lower bound value is less than a lower threshold; and producing an indication that that the patient is to be evaluated for discharge from the general ward when it is determined that the length of stay of the patient is greater than the first time window, greater than the expected length of stay, and greater than the lower evaluation window and that the current TS lower bound value is less than the lower threshold.

Abstract: A method for performing, using a victim triage system, triage analysis of victims of an incident, comprising: (i) receiving a location of the incident, medical information, hospital capability information for hospitals in a predetermined vicinity of the location, and transport information relative to the location; (ii) determining, by a trained triage machine learning algorithm using the received information, a triage decision for the victims, wherein the triage decision for a victim comprises: (1) a probability of the victim's survival over time; (2) a recommendation to transport or not transport the victim to a hospital; and (3) to which of the two or more hospitals the victim should be transported; (iii) generating (140) a triage report comprising the determined triage decision for each of the plurality of victims; and (iv) displaying the triage report on a user display of the victim triage system.