A monitoring system that is configured to monitor a property, the monitoring system comprising: one or more sensors (1108, 112) located at the property; a monitor control unit; an autonomous drone (130; 208; 314); and a remote processing unit; wherein the one or more sensors are configured to generate first sensor data; the monitor control unit is configured to receive the first sensor data, based on the first sensor data, generate an alarm event for the property, based on generating the alarm event for the property, dispatch the autonomous drone; the autonomous drone is configured to navigate the property, and generate, using an onboard camera, image data (222; 308), characterized in that the autonomous drone is further configured to based on the image data, determine a location within the property where a person is likely located, provide, for output, location data (220; 322) indicating the location within the property where the person is likely located using an onboard GPS device, based on the image data, determine that the person is likely injured and provide, for output, data indicating that the person is likely injured, move closer to the person and perform an ultrasound scan (218; 320) using an onboard ultrasound transducer, and provide the ultrasound scan, the image data, and the location data to the remote processing unit; and in that the remote processing unit includes a remote processing engine configured to process the ultrasound scan, the image data, and the location data using machine learning algorithms to produce an indication of an injury of the person, wherein the indication of the injury of the person includes an image from the ultrasound scan and a tagged description of the injury. one or more sensors (1108, 112) located at the property; a monitor control unit; an autonomous drone (130; 208; 314); and a remote processing unit; the one or more sensors are configured to generate first sensor data; the monitor control unit is configured to receive the first sensor data, based on the first sensor data, generate an alarm event for the property, based on generating the alarm event for the property, dispatch the autonomous drone; receive the first sensor data, based on the first sensor data, generate an alarm event for the property, based on generating the alarm event for the property, dispatch the autonomous drone; the autonomous drone is configured to navigate the property, and generate, using an onboard camera, image data (222; 308), characterized in that the autonomous drone is further configured to navigate the property, and generate, using an onboard camera, image data (222; 308), characterized in that the autonomous drone is further configured to based on the image data, determine a location within the property where a person is likely located, provide, for output, location data (220; 322) indicating the location within the property where the person is likely located using an onboard GPS device, based on the image data, determine that the person is likely injured and provide, for output, data indicating that the person is likely injured, move closer to the person and perform an ultrasound scan (218; 320) using an onboard ultrasound transducer, and provide the ultrasound scan, the image data, and the location data to the remote processing unit; and in that provide, for output, location data (220; 322) indicating the location within the property where the person is likely located using an onboard GPS device, based on the image data, determine that the person is likely injured and provide, for output, data indicating that the person is likely injured, move closer to the person and perform an ultrasound scan (218; 320) using an onboard ultrasound transducer, and provide the ultrasound scan, the image data, and the location data to the remote processing unit; and in that the remote processing unit includes a remote processing engine configured to process the ultrasound scan, the image data, and the location data using machine learning algorithms to produce an indication of an injury of the person, wherein the indication of the injury of the person includes an image from the ultrasound scan and a tagged description of the injury.