Framework for Personalized Chronic Pain Management: Harnessing AI and Personality Insights for Effective Care

Framework for Personalized Chronic Pain Management: Harnessing AI and Personality Insights for Effective Care

Authors

  • Akshi Kumar Department of Computing, Goldsmiths University of London, London, UK https://orcid.org/0000-0003-4263-7168
  • Rahul Seewal Chelsea and Westminster Hospital and East Kent Hospital NHS Find Trust, UK & MyPain®, UK
  • Dipika Jain Department of Computer Science & Engineering, Delhi Technological University, New Delhi, India
  • Ravleen Kaur Department of Computer Science & Engineering, Netaji Subhas University of Technology, New Delhi, India https://orcid.org/0009-0008-9497-0337

DOI:

https://doi.org/10.37965/jait.2024.0457

Keywords:

artificial intelligence, health informatics, pain, personality traits

Abstract

This paper introduces a cutting-edge framework for personalized chronic pain management, leveraging the power of artificial intelligence (AI) and personality insights. It explores the intricate relationship between personality traits and pain perception, expression, and management, identifying key correlations that influence an individual’s experience of pain. By integrating personality psychology with AI-driven personality assessment, this framework offers a novel approach to tailoring chronic pain management strategies for each patient’s unique personality profile. It highlights the relevance of well-established personality theories such as the Big Five and the Myers-Briggs Type Indicator (MBTI) in shaping personalized pain management plans. Additionally, the paper introduces multimodal AI-driven personality assessment, emphasizing the ethical considerations and data collection processes necessary for its implementation. Through illustrative case studies, the paper exemplifies how this framework can lead to more effective and patient-centered pain relief, ultimately enhancing overall well-being. In conclusion, the paper positions the need of an “AI-Powered Holistic Pain Management Initiative” which has the potential to transform chronic pain management by providing personalized, data-driven solutions and create a multifaceted research impact influencing clinical practice, patient outcomes, healthcare policy, and the broader scientific community’s understanding of personalized medicine and AI-driven interventions.

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Published

2024-03-18

How to Cite

Kumar, A., Seewal, R., Jain, D., & Kaur, R. (2024). Framework for Personalized Chronic Pain Management: Harnessing AI and Personality Insights for Effective Care. Journal of Artificial Intelligence and Technology, 4(2), 132–144. https://doi.org/10.37965/jait.2024.0457

Issue

Section

SI:Cognitive-Inspired Computational Computing for Intelligent Health Informatics
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