Abstract: One example method for predicting clinically meaningful changes in behavioral health symptomatology using patient voice inputs includes receiving a baseline behavioral sample indicating an initial behavioral health symptomatology of an individual; receiving a subsequent behavioral sample including a supplemental voice recording from the individual; computing a difference score from a trained machine-learning (“ML”) model by providing the baseline behavioral sample and the subsequent behavioral sample as input to the trained ML model wherein the difference score indicates a predicted change in behavioral health symptomatology of the individual, the trained ML model being configured to output a score indicating a predicted change in behavioral health symptomatology based on input data; and outputting the predicted change in behavioral health symptomatology to a client device executing a graphical user interface indicating the change for an entity treating the individual.