Abstract: A method, a system, and a computer program product for detecting and/or determining presence and/or absence of a weakness in one or more bodily joints of a subject. One or more video recordings of one or more subjects are received. One or more features from each of the video recordings are extracted. The features correspond to one or more bodily joints of the subjects. One or more models are trained based on the extracted features to identify a weakness in the bodily joints. The trained model is applied to a first video recording of a first subject, and, using the applied model, a determination is made whether a weakness is present in one or more bodily joints of the first subject.

Abstract: A method, a system, and a computer program product for detecting and/or determining occurrence of a neurological event in a subject. Data corresponding to one or more symptoms, detected by one or more sensors, associated with a subject is received. The sensors include sensors positioned directly on the subject and/or sensors positioned away from the subject. One or more symptom values are assigned to one or more detected symptoms. A severity score for each of the symptoms is determined. The severity scores are determined using one or more machine learning models receiving the assigned symptom values as input. A prediction that the subject is experiencing at least one neurological event and at least a type of the neurological event is generated using a combination of the determined severity scores corresponding to the symptoms. A generation of one or more alerts is triggered based on the prediction. One or more user interfaces are generated for displaying the alerts.