Artificial Intelligence of Patients Management for Injured Patient and Robotic assisted Physiotherapy Rehabilitation

Pa, Padmaavathy. and Thilagavathi, J and Selvi, K. and Ramachandran, G. and Kumar, G. Suresh and Lokeswar Reddy, D. V. and Febiyola Justin, B V. (2024) Artificial Intelligence of Patients Management for Injured Patient and Robotic assisted Physiotherapy Rehabilitation. In: UNSPECIFIED.

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Abstract

It has been observed that technology has shown to be extremely helpful in the healthcare industry. Numerous apps that facilitate patient and physician lives are being developed. Artificial intelligence, machine learning, and virtual reality are among the most widely used technology in therapeutic applications. With the help of apps like this medical technology, health professionals are acquiring the tools they need to give patients in need the kind of care and assistance they need. Additionally, it lessens the burdens of clinicians and provides the ability to manage more customers than before. As injury care, physical strength, body functionality, and total body activity have improved in recent decades along with engagement in body movement research as opposed to drug use and surgery the necessity for physical therapy has increased. Along with the necessity for rehab centers and physiotherapists, the surge in physical activity has increased the requirement for physiotherapy. Physiotherapists now have a helpful workload aid in the form of medical technology. Smart workouts are dependable and inspiring activities that lower the risk of injury and strengthen the muscle-bone system. Unconscious movements have the potential to injure a person's body or impede the growth of exercise. The goal of this study is to examine both orthopedic patients and athletes. The primary focus is performing the exercise correctly according to the specified plan within the constraints of the individual, thanks to the designed algorithm and equipment. The system notifies a user when they complete the necessary movement to the desired degree while wearing an elbow or knee brace, depending on the intended application and the program designed by a doctor or trainer. © 2024 Elsevier B.V., All rights reserved.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Science > Computer Science
Divisions: Management > Department of Management, VMKVEC Campus, Salem > Business Administration
Depositing User: Unnamed user with email techsupport@mosys.org
Last Modified: 27 Nov 2025 07:01
URI: https://vmuir.mosys.org/id/eprint/1976

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