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Towards artificial intelligence application in pain medicine.

Marco Cascella1, Matteo L G Leoni2, Mohammed Naveed Shariff3

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Artificial intelligence (AI) offers new ways to assess and manage pain, improving diagnosis for all patients. AI technologies analyze biosignals and expressions for objective pain evaluation, enhancing personalized treatment strategies.

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Area of Science:

  • Medical informatics
  • Biomedical engineering
  • Pain medicine

Background:

  • Pain is a complex, multidimensional experience with diagnostic and management challenges.
  • Chronic pain involves biological, psychological, and social factors, complicating assessment and treatment.
  • Artificial intelligence (AI) is revolutionizing healthcare, offering new tools for medical applications.

Purpose of the Study:

  • To provide an overview of recent advances in AI for pain medicine.
  • To highlight the potential of AI in automatic pain assessment (APA) for objective pain evaluation.
  • To discuss the broader applications of AI in pain management, including personalized treatment and prediction of opioid use disorders.

Main Methods:

  • Review of current AI technologies applied to pain medicine.
  • Exploration of machine learning algorithms and deep learning architectures (e.g., natural language processing) for APA.
  • Analysis of AI's role in processing biosignals, facial expressions, and speech patterns for pain detection.

Main Results:

  • AI, particularly APA methodologies, shows promise for more objective pain evaluation.
  • AI can analyze various data types (biosignals, facial expressions, speech) for pain assessment.
  • AI applications extend to personalized pain treatment, predicting opioid use disorders, and enhancing telehealth.

Conclusions:

  • AI technologies offer significant advancements in pain medicine, from diagnosis to personalized treatment.
  • Automatic pain assessment (APA) using AI provides objective measures, crucial for non-communicative patients.
  • Addressing challenges like validation, parameter selection, and ethical considerations is vital for AI implementation in pain management.