NCT05127265 Pervasive Sensing and AI in Intelligent ICU
| NCT ID | NCT05127265 |
| Status | Recruiting |
| Phase | — |
| Sponsor | University of Florida |
| Condition | Critical Illness |
| Study Type | OBSERVATIONAL |
| Enrollment | 400 participants |
| Start Date | 2021-05-24 |
| Primary Completion | 2026-12 |
Trial Parameters
Eligibility Fast-Check
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Brief Summary
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.
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