Detection of medical scenario using a hearing instrument

A system comprising:

• an ear-wearable device configured to be worn in, on, or about an ear of a user, the ear-wearable device comprising:
• a sensor configured to sense one or more physiological parameters of the user;
• and
• memory;
• and
• a processing system configured to:
• retrieve, from ear-wearable device, the one or more sensed physiological parameters;
• retrieve, from the memory, a machine learning (ML) model, wherein the ML model is configured to be trained via a training set comprising a plurality of physiological parameter values and a corresponding plurality of symptoms of a medical scenario;
• apply the ML mode to the one or more sensed physiological parameters to determine whether a likelihood that the user is experiencing or will experience the medical scenario;
• and
• based on a determination that the user is experiencing symptoms of the medical scenario, transmit a notification to a computing device indicating that the likelihood that the user is experiencing or will experience the medical scenario.

A method comprising:

• sensing, via a sensor disposed within an ear-wearable device configured to be worn in, on, or about an ear of a user, one or more physiological parameters of the user;
• applying, by processing circuitry of the ear-wearable device, a machine learning (ML) model to the one or more physiological parameters to determine a likelihood that the user will experience a medical scenario;
• and
• transmitting, by the processing circuitry and via communications circuitry of the ear-wearable device, a notification indicating the likelihood that the user will experience the medical scenario.