ActiveNCT03905668

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

Sponsor: University of Florida

Trial Details

Condition	Pain, Delirium
Intervention	Video Monitoring; Accelerometer Monitoring; Electromyographic Monitoring; Noise Level Monitoring; Light Level Monitoring
Status	Active
Participants	71
Est. Completion	18 Jan 2022
Last Updated	13 July 2026

Primary Outcome

Defense Veterans Pain Reporting Scale (DVPRS)

Eligibility Criteria

Inclusion Criteria

ICU Patients: Inclusion Criteria: * patient admitted to University of Florida (UF) Health Gainesville ICU Exclusion Criteria: * Anticipated ICU stay is less than one day * Patient is on any form of contact precaution or isolation * Patient is unable to wear a Shimmer3 unit ICU Patient Friends/Family: Inclusion Criteria: * Individual has their name designated on a patient's informed consent form giving them permission to view and modify facial and activity data collected about that patient Exclusion Criteria: * Age \< 18 * They are unable to answer short questions on a touch screen display * They are unable to wear a proximity sensor * They were not on the listed of designated individuals specified in their friend/family members informed consent form

Trial Sites

Countries

United States

View Registry Entry

Related Analysis

Intelligent ICU Trial: Pervasive Sensing and Deep Learning for Autonomous Pain and Delirium Recognition in Non-Verbal Critically Ill Patients — What Clinicians Need to Know

A University of Florida trial is developing deep learning models to autonomously detect pain and delirium in non-verbal ICU patients using multimodal sensing — including video, accelerometry, and EMG. With pain affecting up to 80% of critically ill patients and delirium remaining substantially under-detected, this foundational research could transform continuous ICU surveillance and support implementation of the ABCDEF bundle.

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