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April 17, 2026Nursing in Critical Care0 citationsOpen Access

Assessment of Pain Intensity Using Deep Learning Models in Non‐Communicative Intensive Care Patients

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SGSuzan GüvenFAFatma Eti̇ AslanMCMurat Canayaz

Key Points

  • This research aims to evaluate the effectiveness of deep learning models for assessing pain in non-communicative intensive care patients.
  • Utilized deep learning algorithms for facial expression analysis.
  • Analyzed facial expressions to quantify pain intensity objectively.
  • Implemented decision support systems for nurses in the intensive care unit.
  • Demonstrated significant reduction in inter-observer variability.
  • Enhanced standardization of pain management protocols.
  • Improved patient safety by mitigating subjective assessment bias.

Abstract

Automated facial expression analysis minimises inter-observer variability by providing an objective decision support mechanism for critical care nurses. This technology facilitates the standardisation of pain management protocols and bolsters patient safety by reducing the inherent risks of subjective assessment bias.

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Cite This Study

Güven et al. (2026) studied this question.

synapsesocial.com/papers/69e1d0165cdc762e9d85921dhttps://doi.org/10.1111/nicc.70478
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