Use of Wearable Miniaturised Medical Devices With Artificial Intelligence (AI) in Enhancing Physical Medicine

Abstract

High-quality data needs to be acquired from patients at the right time not only to build effective intelligent diagnostic decision support systems (DDSSs) and medical decision-making (MDM) tools without tedious data preprocessing steps but also to trigger the most appropriate means of treatment at the proper time [1], ideally in an autonomous manner without physician intervention. Within this context, wearable miniaturised medical devices instilled with Artificial Intelligence (AI) techniques [2] equipped with geo-distributed intelligence [3] have been taking their indispensable places in the medical field with numerous sub-disciplines [4], [5], [6], [7], [8], [9], [10] to take care of patients while they are performing their daily activities. The recent advances in miniaturised mechatronics systems [11], sensor technologies, and AI expedite the development of such devices.

Miniaturised sensors are the essential components in developing miniaturised wearable devices to perceive continuous health conditions through uninterrupted tight coupling with the human body. This research analyses the non-invasive wearable miniaturised medical devices, essential sensor components to acquire high-quality health data, and AI used in these devices to build MDM and DDSSs for improving the daily routines of people with quality suggestions, alerts, and directions.