BRIDGING THE EXPERIENCE GAP: CAN AI COMPENSATE FOR CLINICAL EXPERIENCE IN NEWLY GRADUATED PHYSIOTHERAPISTS AND EXPERIENCED PHYSIOTHERAPISTS?

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dc.contributor.authorAYESHA TARIQ
dc.contributor.authorEMAN SAFDAR
dc.contributor.authorFATIMA HIBA TULLAH
dc.date.accessioned2025-09-22T09:22:56Z
dc.date.available2025-09-22T09:22:56Z
dc.date.issued2025
dc.description.abstractClinical decision making in physiotherapy is influenced by practitioner's experience levels, with newly graduated physiotherapist often facing challenges in confidence and diagnostic accuracy, while experienced clinicians may rely on habitual patterns that do not always align with evolving best practices.
dc.identifier.urihttps://escholar.umt.edu.pk/handle/123456789/6714
dc.language.isoen
dc.publisherUMT Lahore
dc.titleBRIDGING THE EXPERIENCE GAP: CAN AI COMPENSATE FOR CLINICAL EXPERIENCE IN NEWLY GRADUATED PHYSIOTHERAPISTS AND EXPERIENCED PHYSIOTHERAPISTS?
dc.typeThesis
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