AI-supported reasoning in physiotherapy

• Autorzy: Mikołajewski Dariusz , Mikołajewska Emilia

Identyfikatory

DOI

10.34767/SIMIS.2024.02.03

Warianty tytułu

PL

Wnioskowanie w fizjoterapii wspierane sztuczną inteligencją

• Języki publikacji: EN

Abstrakty

EN

Artificial intelligence (AI)-based clinical reasoning support systems in physiotherapy, and in particular data-driven (machine learning) systems, can be useful in making and reviewing decisions regarding functional diagnosis and formulating/maintaining/modifying a rehabilitation programme. The aim of this article is to explore the extent to which the opportunities offered by AI-based systems for clinical reasoning in physiotherapy have been exploited and where the potential for their further stimulated development lies.

PL

Systemy wspomagania wnioskowania klinicznego w fizjoterapii oparte na sztucznej inteligencji, a w szczególności na danych (uczenie maszynowe), mogą być przydatne w podejmowaniu i weryfikacji decyzji dotyczących diagnostyki funkcjonalnej ora formułowania/utrzymywania/modyfikowania programu rehabilitacji. Celem niniejszego artykułu jest zbadanie, w jakim stopniu możliwości oferowane przez systemy oparte na sztucznej inteligencji w zakresie rozumowania klinicznego w fizjoterapii zostały wykorzystane i gdzie leży potencjał ich dalszego stymulowanego rozwoju.

Słowa kluczowe

EN

artificial intelligence; machine learning; clinical reasoning; clinical decision support system; interview; musculoskeletal pain disorders; physiotherapy; usability; recommender system; self-management; mHealth

PL

sztuczna inteligencja; uczenie maszynowe; wnioskowanie kliniczne; system wspomagania decyzji klinicznych; wywiad; zaburzenia bólowe układu mięśniowo-szkieletowego; fizjoterapia; użyteczność; system rekomendacji; samokontrola; mZdrowie

• Wydawca: Instytut Informatyki Uniwersytet Kazimierza Wielkiego
• Czasopismo: Studia i Materiały Informatyki Stosowanej
• Rocznik: 2024
• Tom: T. 16, nr 2
• Strony: 21--27
• Opis fizyczny: Bibliogr. 43 poz., rys., tab.

Twórcy

autor

Mikołajewski Dariusz

• Kazimierz Wielki University, Faculty of Computer Science Kopernika 1, 85-074 Bydgoszcz

autor

Mikołajewska Emilia

• Ludwik Rydygier Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, Poland Department of Physiotherapy, Faculty of Health Sciences Jagiellońska 13-15, 85-087 Bydgoszcz

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