Roles of artificial intelligence in the physical therapy practice: a scoping review / (Record no. 13186)

MARC details
000 -LEADER
fixed length control field 05131nam a22003257a 4500
001 - CONTROL NUMBER
control field T002916
003 - CONTROL NUMBER IDENTIFIER
control field PILC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20241106080646.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241106b |||||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Language of cataloging eng
Transcribing agency FEU-NRMF MEDICAL LIBRARY
Modifying agency rda
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number PT 2024 0013
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Arcenal, Lyka Shayne P.
Relator term author
245 01 - TITLE STATEMENT
Title Roles of artificial intelligence in the physical therapy practice: a scoping review /
Remainder of title [author]: Arcenal, Lyka Shayne P. Arroyo, Denise Emmanuelle V. Bias, Dan Amiel D. Llosala, Raphael A. Medina, Hannah Danielle B. Mostacho, Nissos Ardel A [co author]: Marc Edward Garrido
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Quezon City, Philippines;
Name of publisher, distributor, etc. FEU-Dr. Nicanor Reyes Medical Foundation Institute of Medicine,
Date of publication, distribution, etc. 2024
300 ## - PHYSICAL DESCRIPTION
Extent 95pages
Dimensions 28cm
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term volume
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes Appendix
520 ## - SUMMARY, ETC.
Summary, etc. ABSTRACT:<br/>Introduction. Technological advances have now sprouted in different fields and continue its advancement in the healthcare system, including Artificial Intelligence (Al). Despite fear of job replacement, the technology, nowadays, undeniably<br/>makes all the work efficient and accessible. Artificial Intelligence are devices made to replicate human intelligence with the goal of alleviating quality of life. As part of healthcare innovation, Al is now starting to be integrated in the physical therapy<br/>practice. Physical therapy is a health specialty focused on re attainment and improvement of the function and well-being of people with disabilities. It generally involves examinations, assessments, evaluations, and exercises that vary from<br/>different physiotherapist’s approaches to another. The lack of consistency and objectivity in the practice may undermine the overall patient care and outcomes. Thus, this study seeks to conduct a comprehensive research of the available literature on the roles of Artificial Intelligence (Al) in the Physical Therapy practice.<br/>Methods. This study follows a Scoping Review Design according to the frameworks by Arksey and O’Malley (2005) and Joanna Briggs Institute (JBI) Approach to Conducting Scoping Review. In this review, 1,379 literatures were gathered from online databases, with specific search terms, such as: PubMed Cochrane, Embase, UpToDate, ClinicalTrials.gov, PEDro. The screening for eligibility has 2 levels: 1st is the screening for relevance to pass the inclusion criteria, specifically the titles, abstracts, and keywords, leaving 220 studies to undergo the 2nd screening. Next is the screening for relevance, where full text copies of the studies are scanned, leaving only 10 literatures to be appraised.<br/>Specific details collected from each of the 10 studies were gathered using a tablethe obtained data are as follows: (1) Authors, Year, Country, (2) Title, (3) Artificial Intelligence Technology, (4) Research Design, (5) Research Methods, (6)<br/>Application to PT Practice, (7) Results. The collected data was further examined and segregated based on their use in the (1) Assessment, (2) Treatment Part, and their (3) Limitations and Gaps.<br/>Results and Discussion. Majority of the ten (10) obtained studies were (6) Randomized Controlled Trials, followed by (2) Meta Analysis, (1) Systematic Review and (1) Systematic Review and Meta Analysis. Al tools and equipment that were used in the clinic were OptiTrack, Al exercise mobile application, Al machine learning, Robot-Assisted Gait Training (RAGT) with Hybrid-Assistive Locomotion/Limb (HAL), Smart digital wristband, Overground (OG) Robotic Exoskeleton, wearable activity tracker, Honda Walking Assist (HWA), and mobile application. All Al devices were found to be helpful in the assessment and exercise<br/>implementation in physical therapy, but should still be thoroughly studied to solve the problem in its applicability.<br/>Conclusion. This study was able to obtain more knowledge about the clinical usage of Artificial Intelligence (Al) in the physical therapy practice, proving how its clinical use can improve efficiency in conducting assessments, monitoring status<br/>and progress of patients during their rehabilitation journey, and in the application of enhanced techniques in treating patients. Hence, resulting in better patient care. Despite the benefits Al could provide, it also has its disadvantages as it could not<br/>adapt to immediate changes unlike in conventional practice. The study came to a conclusion that this emerging technology still could not replace the modern physical therapy practice, but could only be a catalyst in amplifying overall competence of physical therapy rehabilitation.<br/>
521 ## - TARGET AUDIENCE NOTE
Target audience note School of Physical Therapy
-- Thesis - School of Physical Therapy
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Arroyo, Denise Emmanuelle V.
Relator term author
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Bias, Dan Amiel D.
Relator term author
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Llosala, Raphael A.
Relator term author
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Medina, Hannah Danielle B
Relator term author
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Mostacho, Nissos Ardel A
Relator term author
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Marc Edward Garrido
Relator term co-author
856 ## - ELECTRONIC LOCATION AND ACCESS
Enable Ebook Yes
Text to speech No
Electronic format type pdf
Uniform Resource Identifier <a href="https://library.feu-nrmf.ph/cgi-bin/koha/opac-retrieve-file.pl?id=4ff7a20975558b1935fec6ab51a32c28">https://library.feu-nrmf.ph/cgi-bin/koha/opac-retrieve-file.pl?id=4ff7a20975558b1935fec6ab51a32c28</a>
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Theses
Holdings
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    Library of Congress Classification     Far Eastern University - Nicanor Reyes Medical Foundation Far Eastern University - Nicanor Reyes Medical Foundation 11/06/2024   PT 2024 0013 T002916 11/06/2024 11/06/2024 Theses