Andriy Hospodarskyy
Ternopil Medical University, Ukraine
Title: Artificial intelligence and telerehabilitation of patients with injuries of the lower extremities
Biography
Biography: Andriy Hospodarskyy
Abstract
The continuous development of technology that paves the way towards the expansion of connections through the internet and the growth of the capacity to process data have created greater possibilities of the development of telemedicine. The increase of telemedicine has shown the rise of possible artificial intelligence (AI) application. The overarching theme of this paper is to discuss implementation of the telemedicine technology with machine learning algorithm for rehabilitation of patients with injuries of the lower extremities. A total of 148 subjects with lower extremity injuries were enrolled in the study. Fifty two patients from the control group underwent traditional rehabilitation procedures. A total of 96 subjects were enrolled in the telerehabilitation group. Home remote monitoring for the 96 test subjects included use of a prototype device with axis-sensor, temperature and volume sensor, which were fixed to the injured limb. Software with machine learning was developed in the Ternopil Medical University and permits the monitoring of exercise time, local temperature, the frequency of active movements of the injured limb with algorithm of machine learning. Based on the patient’s individual condition and machine learning algorithm, the rehabilitation doctor created an individualized rehabilitation plan for each subject, containing an activity plan. Patient satisfaction was higher for the telerehabilitation with machine learning algorithm (78.3%, SD:12.6) than for the traditional rehabilitation (36.7%, SD:7.3). The telerehabilitation system with machine learning algorithm can be used in complex rehabilitation of patients with injuries of the lower extremities.