Advanced Baby Lung Simulator with Real-Time Artificial Intelligence

neosim launches Black-LuSi

Image Credit: neosim AG

The world’s most advanced baby lung simulator, Black-LuSi, is the only black, high-end baby lung simulator with real-time artificial intelligence.

The input of an operator is needed to react to therapy provided by the trainer or learner with conventional, complex simulators used in medical training.

However, Neosim’s lung simulators do not require an operator to respond to treatment, thanks to the implementation of real-time artificial intelligence methods. The autonomy of these simulators means that instructors can focus on delivering education and training consistent with state-of-the-art medicine.

Real-time artificial intelligence improves the adaptability, timeliness, responsiveness, and speed of computer systems by performing tasks normally requiring human intelligence.1

LuSi and Black-LuSi are both neonatal lung simulators that can be used in clinician training to learn how to apply respiratory therapy and assess lung function without any risk to patients. LuSi can be used to train clinicians on the following subjects, among others:

  • Vital sign interpretation
  • Alarm settings of ventilators
  • Ventilator data interpretation
  • Surfactant therapy effect
  • High-frequency ventilation
  • Invasive ventilation
  • High flow oxygen therapy
  • NCPAP application

LuSi can simulate pathologies such as airway obstruction, pneumothorax, weak muscular activity, lung collapse and RDS and responds to treatment without operator intervention. Physiological models are the basis of the built-in artificial intelligence.

Model-based physiology uses models that are representative of approximations of the behavior of actual systems, in this case, characterized by a set of model parameters and a physiologically consistent mathematical structure (here meaning the set of equations is used).

A sign of a good model is that it reliably predicts the physiological system’s future performance.2

Low threshold training of junior staff may be achieved with an easy to use simulator where the response to a specific treatment is driven by built-in physiological based models not requiring any manual input once the simulation is running. LuSi is such a lung simulator, not only looking like a sick late preterm baby but also behaving as such.”

Dr. Thomas Riedel, Head of Department of Paediatrics, Cantonal Hospital Graubuenden, Chur, Switzerland and University Children’s Hospital, Inselspital, Bern

Advanced Baby Lung Simulator with Real-Time Artificial Intelligence

Image Credit: neosim AG

LuSiLIFE is a touchscreen-enabled pathology building and execution program that controls the design and selection of pathologies. The program can complete data recording for later analysis, take notes, make on-the-fly changes, load patient case libraries, and execute pre-assembled cases.

LuSi does not need CO₂ gas or actual monitoring equipment and so can be used in a hospital setting or in any training facility. A second PC screen displays the vital signs parameters, much like a standard vital signs monitor.

Actual measured values of volume, flow, and pressure, as well as case-specific pathologies like lung compliance, CO₂ production, and dead space, are used to derive the real-time values and curves. LuSi is made fully transparent to its users by publishing all calculations.3

LuSi comes with a number of plug-and-play functions, including execution software LuSiLIFE with integrated vital signs display, PC-based case building, technical support material, storage case, battery charger, built-in rechargeable batteries and the baby. Vital signs can be displayed by adding any size external monitor.

Autonomous lung simulators offer totally new possibilities for mechanical ventilation training in neonatology. Minimal requirements for programming, compatibility with any given ventilator and wireless communication will result in easier application and therefore help to implement simulation of neonatal respiratory diseases into day to day work in NICUs.”

Dr. Thomas Riedel, Head of Department of Paediatrics, Cantonal Hospital Graubuenden, Chur, Switzerland and University Children’s Hospital, Inselspital, Bern

References

  1. Dodhiawala R, Sridharan N, Raulefs P, Pickering C (1989). Real-Time AI Systems: A Definition and An Architecture. IJCAI. 256-264.
  2. Michmizos K, Nikita K (2012). Physiological Systems Modeling, Simulation, and Control. 10.4018/978-1-4666-0122-2.ch017.
  3. Brunner JX, Riedel T (2020). LuSi Physiological Model. ISBN 978-3-9524884-1-6

About neosim AG

neosim is a Swiss company founded by experts with strong background in lung physiology and mechanical ventilation of intensive care patients. The mission of neosim is to bring high-fidelity physiology and pathophysiology to the patient simulator community.

For training and education of clinicians, especially respiratory therapists and intensive care professionals, neosim simulators create realistic breathing in health and disease. In contrast to other simulators, neosim’s simulators can be treated with intensive care therapy methods and responds like a real human patient. The result manifests itself clinically and can be measured quantitatively with state-of-the-art monitoring in real-time.


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Last updated: Apr 8, 2021 at 4:04 AM

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