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Pervasive Sensing and AI in Intelligent ICU
Pervasive Sensing and Artificial Intelligence in Intelligent ICU Subtitles: -Intelligent Intensive Care Unit (I2CU): Pervasive Sensing and Artificial Intelligence for Augmented Clinical Decision-making -ADAPT: Autonomous Delirium Monitoring and Adaptive Prevention
Who can join
Ages 18 and older · All sexes
Full eligibility criteria
Inclusion Criteria: * aged 18 or older * admitted to UF Health Shands Gainesville ICU ward * expected to remain in ICU ward for at least 24 hours at time of screening Exclusion Criteria: * under the age of 18 * on any contact/isolation precautions * expected to transfer or discharge from the ICU in 24 hours or less * unable to provide self-consent or has no available proxy/LAR
About the study
Important information related to the visual assessment of patients, such as facial expressions, 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, delirious state, and impending clinical deterioration, often cannot be incorporated into clinical status. The overall objectives of this project are to sense, quantify, and communicate patients' clinical conditions in an autonomous and precise manner, and develop a pervasive intelligent sensing system that combines deep learning algorithms with continuous data from inertial, color, and depth image sensors for autonomous visual assessment of critically ill patients. The central hypothesis is that deep learning models will be superior to existing acuity clinical scores by predicting acuity in a dynamic, precise, and interpretable manner, using autonomous assessment of pain, emotional distress, and physical function, together with clinical and physiologic data.
What is being tested
- Video Monitoring (other)
- Accelerometer Monitoring (other)
- Noise Level Monitoring (other)
- Light Level Monitoring (other)
- Air Quality Monitoring (other)
- EKG Monitoring (other)
Sponsor: University of Florida · Participants: 400 · Started: May 24, 2021
Contact the study team
- Andrea E Davidson, BS · Phone: 352-294-8723
Official record on ClinicalTrials.gov — NCT05127265
Locations in the U.S.
| Florida | University of Florida Health Shands Hospital, Gainesville |
Conditions
From ClinicalTrials.gov, data retrieved Sep 30, 2026. Each study sets its own eligibility; the study team decides who can join.