UTILIZING ARTIFICIAL INTELLIGENCE TO IMPROVE EARLY DIAGNOSIS AND MANAGEMENT OF PEDIATRIC RESPIRATORY MUSCULOSKELETAL DISORDERS IN PHYSICAL THERAPY
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Keywords
Artificial Intelligence, Pediatric, Respiratory, Musculoskeletal Disorders, Early Diagnosis, Physical Therapy
Abstract
This review article explores the potential of artificial intelligence (AI) in enhancing the early diagnosis and management of pediatric respiratory musculoskeletal disorders in physical therapy. With the increasing prevalence of such disorders among children, early detection and intervention are crucial for improved outcomes. AI technologies, including machine learning algorithms and deep learning models, offer promising tools for analyzing complex data sets and identifying patterns that may be indicative of these disorders. By leveraging AI, physical therapists can enhance their diagnostic accuracy, personalize treatment plans, and monitor patient progress more effectively. This review examines recent studies and developments in the application of AI in pediatric respiratory musculoskeletal disorders, highlighting the benefits, challenges, and future directions in this field. Additionally, it discusses the ethical considerations and potential limitations associated with integrating AI into clinical practice. Overall, this article aims to provide insights into how AI can revolutionize the early detection and management of pediatric respiratory musculoskeletal disorders in physical therapy, ultimately improving patient outcomes and quality of care.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
All articles published in JPTCP are licensed under Copyright Creative Commons Attribution-NonCommercial 4.0 International License.
Hussain zaki al zayer
Health information technician, Dammam medical complex, Dammam, Saudi Arabia.
Al muhanna saeed badr M
General pediatrics medicine-PEM physician, Maternity and children hospital Alahsa, Saudi Arabia.
Al alsayedahmed, Hussain Hayder A
Hospital Administration Health Information Technician, Dammam medical complex, Saudi Arabia.
Sarah Mohammad Albagshi
MOH Prince saud bin jalawi hospital Respiratory Therapist Alahsa, Saudi Arabia.
Zainab Taleb Alameer
Respiratory Therapist, KING FAISAL GENERAL HOSPITAL, Alahsa MOH, Saudi Arabia.
Fatimah Ahmed H alwayil
Respiratory Therapist prince saud bin jalawi hospital Alahsa, Saudi Arabia.
Hassan Ali Alammar
health Technical Information Alwjam Health Center, Saudi Arabia.
Hebah Abdullah Albagshi
Respiratory Therapist, King fahad hospital, Hofuf, Saudi Arabia.
AlQattan, Zainab Abdullah M
Respiratory Therapist, King faisal general hospital, Alahsa MOH, Saudi Arabia.
riyadh Abdullah Mohammed mobarki
Physiotherapist, Khlees general hospital, Saudi Arabia.
Faten Mohammed A Ismail
Physiotherapist, King fahad general hospital, Saudi Arabia.
Zainab yousef albasrawi
Respiratory Therapist, Aljafer general hospital, Saudi Arabia.
Samar Mohammad Ghouniam
Physiotherapy, King Fahd General Hospital, Jeddah, Saudi Arabia.
Salwa Mohammad Ghonaim
physiotherapy technician, King fahad General Hospital, Jeddah, Saudi Arabia.
