Clinical Research Directory

Fundamental Intelligent Building Blocks of the Intensive Care Unit (ICU) of the Future: Intelligent ICU of the Future

Sponsor: University of Florida

Summary

The objective of this project is to create deep learning and machine learning models capable of recognizing patient visual cues, including facial expressions such as pain and functional activity. Many important details related to the visual assessment of patients, such as facial expressions like pain, head and extremity movements, posture, and mobility are captured sporadically by overburdened nurses or are not captured at all. Consequently, these important visual cues, although associated with critical indices, such as physical functioning, pain, and impending clinical deterioration, often cannot be incorporated into clinical status. The study team will develop a sensing system to recognize facial and body movements as patient visual cues. As part of a secondary evaluation method the study team will assess the models ability to detect delirium.

Official title: Intelligent ICU of the Future Subtitles: *Autonomous Pain Recognition in Non-Verbal and Critically Ill Patients *Fundamental Intelligent Building Blocks of the Intensive Care Unit (ICU) of the Future *Intelligent Intensive Care Unit (I2CU): Pervasive Sensing and Artificial Intelligence for Augmented Clinical Decision-making *ADAPT: Autonomous Delirium Monitoring and Adaptive Prevention

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