DIGITAL TWIN MODELS FOR PIEZOELECTRIC SENSOR-BASED MEDICAL IMAGING USING AI

The prevailing tendencies of artificial intelligence and the recent sensor technology are changing the manner in which medical diagnostics are performed. The case sheds light on the application of digital twin modelling which built on piezoelectric sensors which offers an opportunity to create a virtual model of a patient who has his/her body and all its features are represented. This is unlike conventional imaging, which can only provide the user with a single image at a time,considering that, in this method, the user can track the activity with time and analyse the data in real time. With sensor data and AI, healthcare workers will have an opportunity to detect issues earlier, create treatment strategies with better efficiency, and adapt available services to the patient. Overall, the technology enables to offer more active healthcare, improve the patient outcomes and make the clinical processes more respondsive and efficient.