Application of Artificial Intelligence in Physical Rehabilitation of Patients Admitted to the Intensive Care Unit: A Scoping Review.
Background and aims: Artificial intelligence (AI) has proven to be a highly useful tool in the clinical setting, especially in the Intensive Care Unit (ICU). The use of various AI-mediated instruments to guide medical treatments and even support surgical procedures has been previously described, but...
| Publicado en: | Indian Journal of Critical Care Medicine Vol. 29; no. 10; pp. 851 - 861 |
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| Autores principales: | , , , |
| Formato: | pictorial research systematic review tables/charts Journal Article |
| Publicado: |
Jaypee Brothers Medical Publishers Private Limited
Oct2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=189535870&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 189535870 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09725229 SV5 jtl: Indian Journal of Critical Care Medicine issn: 09725229 maglogo: N pubinfo: dt: Oct2025 vid: 29 iid: 10 pid: 50372 pub: Jaypee Brothers Medical Publishers Private Limited artinfo: ui: 189535870 189535870 189535870 10.5005/jp-journals-10071-25070 189535870 ppf: 851 ppct: 10 formats: tig: atl: Application of Artificial Intelligence in Physical Rehabilitation of Patients Admitted to the Intensive Care Unit: A Scoping Review. aug: au: Payán-Salcedo, Harold A. Castro Aguilera, Aura M. Salinas Batioja, María F. Castillo Diaz, Laura M. affil: Grupo de Investigación Salud y Movimiento, Universidad Santiago de Cali, Cali, Colombia sug: subj: Artificial Intelligence Utilization Intensive Care Units Hospitalization Physical Therapy Human Scoping Review Critically Ill Patients Checklists PubMed Algorithms Adult Middle Age Aged Data Analysis Software Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years ab: Background and aims: Artificial intelligence (AI) has proven to be a highly useful tool in the clinical setting, especially in the Intensive Care Unit (ICU). The use of various AI-mediated instruments to guide medical treatments and even support surgical procedures has been previously described, but there is still no aggregated evidence on its usefulness in assisting the physical rehabilitation process of critically ill patients, understanding that this is extremely important to prevent the development of muscle weakness in the ICU. This review, therefore, aimed to describe the usefulness of AI in supporting the physical rehabilitation of patients admitted to the ICU. Materials and methods: This scoping review was conducted following the Joanna Briggs Institute (JBI) methodology, originally developed by Arksey and O'Malley. A structured search strategy based on a Population, Concept, and Context (PCC) framework was used to search PubMed, Web of Science, Scopus, and the Virtual Health Library (VHL) databases. Results: The initial search yielded 116 articles. After removing duplicates and applying exclusion criteria during title and abstract screening, eight studies were included in the final analysis. Identified tools included noninvasive mobility sensors, robotic assistance systems, machine learning algorithms, and software to support musculoskeletal ultrasound assessment. Conclusion: Artificial intelligence is emerging as a key tool for ICU rehabilitation, offering objective data, enhancing patient monitoring, and streamlining assessment processes. pubtype: Academic Journal doctype: pictorial research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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