CONVERSATIONAL AI AND REINFORCEMENT LEARNING FOR VIRTUAL COACHING IN PHYSIOTHERAPY

Authors

  • Sivakumar, R.D Author

DOI:

https://doi.org/10.48047/jpc2x745

Keywords:

Conversational AI, Reinforcement Learning, Virtual Coaching, Physiotherapy, Natural Language Processing, Personalized Rehabilitation, Deep Learning, Adaptive Feedback, Remote Healthcare, Digital Health, Sensor-Based Therapy, Federated Learning and AI-Driven Intervention.

Abstract

Virtual coaching benefits from the emergence of reinforcement learning along with conversational artificial intelligence systems to provide personalized real-time feedback required for patient recovery in physiotherapy. This research analyzes technological methods which improve virtual physiotherapy coaching through interactive systems that display human-like expert capabilities. 

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References

Christian Szegedy, Matthew L. Putnam, “Reinforcement Learning and Deep Learning”, First Edition, O'Reilly Media, Sebastopol, 2019.

Rajendra Akerkar, “Artificial Intelligence for Business”, First Edition, Apress Publication, Berkeley, 2020.

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Published

2024-12-12

How to Cite

CONVERSATIONAL AI AND REINFORCEMENT LEARNING FOR VIRTUAL COACHING IN PHYSIOTHERAPY (Sivakumar, R.D , Trans.). (2024). Cuestiones De Fisioterapia, 53(03), 1141-1152. https://doi.org/10.48047/jpc2x745