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Related Experiment Video

Updated: Sep 23, 2025

Treating Low Back Pain in Failed Back Surgery Patients with Multicolumn-lead Spinal Cord Stimulation
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Conversational Artificial Intelligence for Spinal Pain Questionnaire: Validation and User Satisfaction.

Kyoung Hyup Nam1, Da Young Kim2, Dong Hwan Kim1

  • 1Department of Neurosurgery, Medical Research Institute, Pusan National University Hospital, Busan, Korea.

Neurospine
|May 16, 2022
PubMed
Summary

A new voice-based conversational artificial intelligence (AI) system for spinal pain questionnaires shows high user satisfaction and accuracy. This AI tool demonstrates potential for patient diagnosis and remote monitoring.

Keywords:
ChatbotConversational artificial intelligenceNatural language processPain questionnaireSpineSpoken dialogue system

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Spinal Disease Management

Background:

  • Pain assessment in spinal diseases is crucial for effective treatment.
  • Current methods may lack efficiency and patient engagement.
  • Developing advanced tools can improve pain management strategies.

Purpose of the Study:

  • To develop a spoken dialogue system (SDS) for pain questionnaires in spinal disease patients.
  • To evaluate user satisfaction with the SDS among medical staff and patients.
  • To validate the performance accuracy of the SDS.

Main Methods:

  • Developed an SDS based on a pain questionnaire protocol for spinal diseases.
  • Incorporated recognition, summarization, and documentation of patient responses.
  • Evaluated user satisfaction and performance accuracy in 30 users (doctors, nurses, patients).

Main Results:

  • Overall user satisfaction was favorable across doctors (5.3/7), nurses (6.0/7), and patients (5.3/7).
  • Performance accuracy showed varying error rates in question repetition, summarization errors, and omissions across user groups.
  • Nurses demonstrated the highest satisfaction and lowest error rates in SDS interaction.

Conclusions:

  • This study introduces the first voice-based conversational AI for spinal pain questionnaires, validated by clinicians and patients.
  • The developed AI system exhibits promising user satisfaction and performance accuracy.
  • Conversational AI holds significant potential for future applications in patient diagnosis, remote monitoring, and pain assessment.