Artificial intelligence models for interpretation of point-of-care ultrasound examinations

A system for automatically predicting an internal trauma of a patient, comprising:

• a controller;
• a processing circuit controlled by the controller and configured to process a plurality of point of care ultrasound (POCUS) images of the patient in accordance with one or more selected scan sites of the patient and augmentation settings to generate processed POCUS images of the patient, each POCUS image associated with a scan site of the patient;
• and
• a prediction circuit controlled by the controller and configured to interpret the processed POCUS images of the patient associated with the one or more selected scan sites and augmentation settings using one or more trained AI models to automatically generate a predicted internal trauma injury result at a selected scan site of the patient, where the controller controls the prediction circuit to communicate the predicted internal trauma injury result through a user interface of the system controlled by the controller.