Ambient Intelligence And Emotion AI In Healthcare

Ambient Intelligence and Emotion AI are two, somewhat related concepts, and both have the potential to significantly improve future healthcare in many areas, such as addressing capacity issues and preventing staff burnout, improving patient outcomes and supporting the autonomous living of the elderly. Let’s see what these terms mean and what their practical applications will be. Ambient intelligence means – in laymen’s terms – a technology-supported environment that is sensitive and responsive to human presence with the technology part remaining as close to invisible as possible. To cite a simple example, a sensor- and AI-based fall detection and prevention solution in an elderly care facility is an example of ambient intelligence: the sensors and physical devices, as cameras are embedded in the environment, the algorithm runs in the background and it provides added value to the patient (more safety, help to arrive faster) and to healthcare providers (more accurate information, immediate alerts in case of a patient being in risk of falling or of a fall). Emotion AI is often also called affective computing and is about detecting emotions using artificial intelligence and interacting with humans in a way that suits their current emotional state. It can identify emotions by measuring micro-expressions that are too fast and subtle for a human eye to capture and is used in myriad areas of life from designing more efficient sales techniques to provid...
Source: The Medical Futurist - Category: Information Technology Authors: Tags: TMF Artificial Intelligence in Medicine Source Type: blogs