Abstract: System and methods are provided for detecting impairment of an individual. The method involves operating a processor to: receive at least one image associated with the individual; and identify at least one feature in each image. The method further involves operating the processor to, for each feature: generate an intensity representation for that feature; apply at least one impairment analytical model to the intensity representation to determine a respective impairment likelihood; and determine a confidence level for each impairment likelihood based on characteristics associated with at least the applied impairment analytical model and that feature. The method further involves operating the processor to: define the impairment of the individual based on at least one impairment likelihood and the respective confidence level.

Abstract: System and methods are provided for detecting impairment of an individual. The method involves operating a processor to: receive at least one image associated with the individual; and identify at least one feature in each image. The method further involves operating the processor to, for each feature: generate an intensity representation for that feature; apply at least one impairment analytical model to the intensity representation to determine a respective impairment likelihood; and determine a confidence level for each impairment likelihood based on characteristics associated with at least the applied impairment analytical model and that feature. The method further involves operating the processor to: define the impairment of the individual based on at least one impairment likelihood and the respective confidence level.

Abstract: System and methods are provided for detecting impairment of an individual. The method involves operating a processor to: receive at least one image associated with the individual; and identify at least one feature in each image. The method further involves operating the processor to, for each feature: generate an intensity representation for that feature; apply at least one impairment analytical model to the intensity representation to determine a respective impairment likelihood; and determine a confidence level for each impairment likelihood based on characteristics associated with at least the applied impairment analytical model and that feature. The method further involves operating the processor to: define the impairment of the individual based on at least one impairment likelihood and the respective confidence level.

Abstract: A method and system for rapid scanning, surveillance and detection of an infectious disease in an individual is disclosed. The method and system operate a processor to receive a set of training data comprising training data to train one or more analytical models using artificial intelligence algorithms. The method and system then use one or more input devices to receive parameters related to the individual such as images, body temperature, clinical data, CT scan data, voice data, video data and thermal image. Each parameter is associated to one or more features. An analytical model is selected from one or more analytical models to detect the presence of the infectious disease in an individual. The method and system for rapid scanning, surveillance and detection can be trained on a wide dataset received from clinical data, CT-scan, X-ray, temperature sensor and other data.

Abstract: System and methods are provided for detecting impairment of an individual. The method involves operating a processor to: receive at least one image associated with the individual; and identify at least one feature in each image. The method further involves operating the processor to, for each feature: generate an intensity representation for that feature; apply at least one impairment analytical model to the intensity representation to determine a respective impairment likelihood; and determine a confidence level for each impairment likelihood based on characteristics associated with at least the applied impairment analytical model and that feature. The method further involves operating the processor to: define the impairment of the individual based on at least one impairment likelihood and the respective confidence level.