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VOL. 2, ISSUE 1 (2026)
AI-based pain assessment in physiotherapy: A multidimensional approach to clinical innovation
Authors
Himadri Tanaya Das, Tanisha Panda, Biswajit Pasupalak, Nihar Ranjan Mohanty
Abstract
Artificial Intelligence (AI) is revolutionizing pain assessment in
physiotherapy by introducing novel, multidimensional approaches that enhance
the accuracy, objectivity, and effectiveness of pain management strategies.
Traditional subjective pain scales often fall short in capturing the complex
nature of pain, particularly in vulnerable populations. AI-driven pain
assessment tools, which leverage wearable sensors and advanced algorithms,
provide a promising solution to these limitations. By continuously analysing
physiological signals such as photoplethysmography, electrodermal activity,
skin temperature, and accelerometer data, AI algorithms can objectively
quantify pain and potentially differentiate between nociceptive and neuropathic
pain types. This approach enables real-time, non-invasive monitoring during
physiotherapy sessions, empowering clinicians to tailor treatments effectively.
Moreover, AI-based pain assessment extends beyond physiological data to
encompass biopsychosocial factors, aligning with the superior effectiveness of
multidimensional physiotherapy interventions in chronic pain conditions.
Techniques like EEG spectrum analysis and network analyses further elucidate
the interrelationships between pain intensity, disability, and psychosocial
functioning, guiding personalized rehabilitation targets. The integration of AI
in physiotherapy pain assessment represents a cutting-edge clinical innovation
that promises to revolutionize precision medicine strategies by combining
continuous wearable sensor data analysis with biopsychosocial evaluation,
ultimately improving diagnostic accuracy and therapeutic outcomes in the
complex realm of pain management.
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Pages:52-55
How to cite this article:
Himadri Tanaya Das, Tanisha Panda, Biswajit Pasupalak, Nihar Ranjan Mohanty "AI-based pain assessment in physiotherapy: A multidimensional approach to clinical innovation". International Journal of Advanced Education
, Vol 2, Issue 1, 2026, Pages 52-55
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