AngelEye plans AI-Driven Neonatal ICUs

  • September 16, 2024
  • William Payne

Neonatal care bedside camera specialist AngelEye Health plans to integrate AI, machine learning, and computer vision into its bedside ICU camera systems to boost delivery of neonatal intensive care.

With an existing network of almost 10,000 bedside cameras in more than 250 hospitals nationwide, AngelEye is working to expand the capabilities of its platform. The already established infrastructure provides an opportunity to put these new solutions into practice at an accelerated pace. By leveraging advanced technologies, the company is designing a comprehensive platform that not only strengthens family connections but enhances safety and clinical decision-making.

AngelEye’s recent acquisition of the Early Detection Neuromotor Assessments (EDNA) portfolio is a key element in advancing its camera capabilities. These solutions open the door to developing proprietary clinical insights from the data collected through its camera network, empowering data-driven care. EDNA’s AI-driven movement analysis technology is in the process of integration into the existing camera network, providing the foundation for more advanced monitoring tools in the NICU. This integration will allow AngelEye to track early neuromotor risks and other key health indicators in newborns, supporting earlier intervention and better long-term outcomes.

In addition to neuromotor risk detection, the company is also exploring a range of future applications through its own research and development and collaborations with third-party researchers. These applications will empower clinicians with a deeper understanding of neonatal health, enabling more informed decision-making and personalised care plans.

“AngelEye has a long-standing commitment to driving innovation in the NICU,” said Christopher Rand, chief executive officer of AngelEye Health. “We are currently in the process of integrating AI and computer vision technologies into our camera systems to give them a more active role in patient care. This is just the beginning, as we continue to explore new ways to push the boundaries of what’s possible in neonatal care, paving the way for cutting-edge solutions that will define the future of the NICU.”

“Between the complementary nature of our solution base and the diversity of our collected data, AngelEye has a unique opportunity to revolutionise NICU care from birth through discharge and beyond. Leveraging our well-established camera infrastructure in NICUs nationwide, we can expedite every component of the traditional AI/ML pipeline, from data collection to model training and deployment,” said Patrick Tinsley, PhD, manager of medical technology at AngelEye Health. “Our vision for the NICU of Tomorrow encompasses many different objectives, all of which we believe can be realised through the incorporation of computer vision and machine learning techniques. With access to vastly different types of data, our efforts to introduce AI into the NICU will support personalised feeding schedules, assess neuromotor function, and plan proper discharge courses, directly benefiting NICU nurses, patients, and families.”