How to replace a physiotherapist: artificial intelligence and the redistribution of expertise.
The convergence of large datasets, increased computational power, and enhanced algorithm design has led to the increased success of machine learning (ML) and artificial intelligence (AI) across a wide variety of healthcare professions but which, so far, have eluded formal discussion in physiotherapy...
| Publicado en: | Physiotherapy Theory & Practice Vol. 38; no. 13; pp. 2275 - 2284 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Taylor & Francis Ltd
Dec2022
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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=160402857&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 160402857 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09593985 BCJ jtl: Physiotherapy Theory & Practice issn: 09593985 maglogo: Y pubinfo: dt: Dec2022 vid: 38 iid: 13 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 160402857 150663647 10.1080/09593985.2021.1934924 160402857 ppf: 2275 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: How to replace a physiotherapist: artificial intelligence and the redistribution of expertise. aug: au: Rowe, Michael Nicholls, David A. Shaw, James affil: Department of Physiotherapy, Faculty of Community and Health Sciences, University of the Western Cape, Bellville, Cape Town, South Africa sug: subj: Physical Therapists Artificial Intelligence Algorithms Physical Therapy Practice Clinical Competence Automation Robotics Natural Language Processing Patient Centered Care ab: The convergence of large datasets, increased computational power, and enhanced algorithm design has led to the increased success of machine learning (ML) and artificial intelligence (AI) across a wide variety of healthcare professions but which, so far, have eluded formal discussion in physiotherapy. This is a concern as we begin to see accelerating performance improvements in AI research in general, and specifically, an increase in competence within narrow domains of practice in clinical AI. In this paper we argue that the introduction of AI-based systems within the health sector is likely to have a significant influence on physiotherapy practice, leading to the automation of tasks that we might consider to be core to the discipline. We present examples of some of these AI-based systems in clinical practice, specifically video analysis, natural language processing (NLP), robotics, personalized healthcare, expert systems, and prediction algorithms. We address some of the key ethical implications of these emerging technologies, discuss the implications for physiotherapists, and explore how the resultant changes may challenge some long-held assumptions about the status of the profession in society. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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