Sibel and LookDeep Partner on Bedside AI

- Sibel Health's FDA-cleared ANNE® platform utilizes soft, flexible, and reusable wearable sensors to continuously monitor a patient's vital signs, including ECG, heart rate, respiratory rate, temperature, and SpO2. The platform is designed for a wide range of patients, from neonates to adults, in both hospital and home settings. - LookDeep Health's aimee™ platform acts as an AI-powered clinical assistant that uses computer vision and audio to understand the real-time context of a patient's room. It can detect patient movement, the presence of clinical staff, and even engage with patients in over 50 languages to provide companionship and non-medical support. - The partnership's core technical goal is to fuse Sibel's continuous physiological data streams with the contextual data from LookDeep's visual and audio sensors. This creates a richer dataset that can help clinicians differentiate between urgent medical events and non-critical situations, such as a patient simply shifting in bed. - A key use case for this integrated system is the early detection of patient deterioration outside of the ICU. By combining a change in vital signs with visual cues of distress or unusual behavior, the system can provide earlier and more accurate warnings to clinical staff. - The collaboration also aims to reduce alarm fatigue, a common problem in hospitals where clinicians become desensitized to frequent, non-actionable alerts. By adding visual and auditory context, the system can help verify the urgency of an alarm before notifying staff. - For healthcare systems focused on operational efficiency, this technology supports the expansion of virtual nursing and remote rounding programs. A single clinician can oversee a larger number of patients by relying on the AI to flag individuals who need immediate attention based on a combination of their vital signs and bedside behavior. - LookDeep's AI models are deployed across a network of 11 hospitals and have been trained on over 1,000 days of inference from monitoring high-risk fall patients. The company's platform is designed to integrate with existing hospital systems like EHRs and nurse-call buttons, and it supports open standards to avoid vendor lock-in. - Sibel Health, a spinout from Northwestern University, has a history of strategic collaborations, including a partnership with Medidata to integrate its technology into clinical trials and a commercial partnership with Dräger for developing digital health technologies.