Why carry out this study?

To highlight the current status of the pain assessments.

To identify the practical tips for improving the pain assessment.

To identify the different applications of artificial intelligence (AI) technology for augmenting pain assessment.

To summarize the challenges of using the AI/machine learning (ML) technology in automated pain assessments.

To identify the future potential for fully automated pain management by integrating AI technology.

What was learned from the study?

Pain is a complex and multidimensional symptom that requires multimodal approaches for accurate assessments.

Various AI techniques such as ML, natural language processing (NLP), computer vision (CV), and wearable devices can be utilized to assess pain.

Evidence is promising regarding incorporating AI tools for objective, personalized, and accurate assessment of pain.

There are some limitations to consider in integrating AI in pain assessment, such as data quality and ethical considerations.

More collaborations between AI experts and healthcare professionals are required to enhance the integration of AI in pain management and improve the patient’s outcome.