Health Care : Current Reviews

Application of physiotherapy methods with machine learning for patients with injuries of the lower extremities

4^th Annual Congress on Wellness and Alternative Healthcare Informatics

August 11-12, 2021 | Webinar

Andriy Hospodarskyy

Horbachevskyy Ternopil National Medical University, Ukraine

Scientific Tracks Abstracts: hccr

Abstract:

The use of artifi cial intelligence (AI) has a major role in the implementation of telemedicine technology. 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. 52 patients from the control group underwent traditional rehabilitation procedures. A total of 96 subjects were enrolled in the telerehabilitation group and were trained with a set of exercises. Home remote monitoring for the 96 test subjects included use of Prototype device with Axis-sensor, temperature. Based on the machine learning algorithm, rehabilitation doctor created an individualized rehabilitation plan for each subject, containing an activity plan. Subjects reported a higher satisfaction with telerehabilitation with machine learning algorithm than with the traditional orthopedic rehabilitation due to the fact that they spent less time at the hospital and had more time for exercises at home under orthopedic remote monitoring. The telerehabilitation system with machine learning algorithm can be used in complex rehabilitation of patients with injuries of the lower extremities. Telemedicine was able to catch up with the trends in using artifi cial intelligence but there are still some challenges to be solved. The implementation of these researches will be the most important contribution, which is why it is also important to begin researching on how this technology can be made more cost effective so it can be used in rural areas and underdeveloped hospital facilities.

Biography :

Andriy Hospodarskyy has completed his PhD at the age of 27 years from Ternopil Medical University and postdoctoral studies from Lviv Medical University. He is the associate professor of general surgery department. He has published more than 90 papers in reputed journals. He is co-author of two books on surgery for medical student He was invited as a speaker of several International Congresses of American Telemedicine Association.