HSI

How can AI-generated KPI data be presented to medical professionals to offer constructive feedback on laryngoscopy?

Discover how AI-processed laryngoscopy footage makes the procedure easier and safer.

Initial position

Endotracheal intubation is a high-risk procedure that can lead to serious complications or even fatalities. aiEndoscopic has developed larynGuide, an AI system that provides real-time analysis of video footage during laryngoscopy. The aim is to further integrate this AI into endotracheal intubation training to improve safety — a vision that is to be realised through larynGrade.

Problem statement / Project goal

How can the data generated through AI analysis of video laryngoscopy be visualized in a way that helps doctors reflect on their past procedures?

Solution developed and its benefits

Two prototypes to conceptually show the navigation and the dashboards to get feedback on the endoscopic performance.

  • dashboards
  • statistics
  • interactive charts
  • overall score chart
  • detail view with charts and stats
  • further conceptual work

Doctors can review data of their performance in intubation and refelct to improve.

Testimonial
«aiEndoscopic AG develops AI-powered solutions to make endoscopy safer and easier to perform. One of our ideas was to create an online platform where doctors could upload endoscopic procedures and receive quantitative feedback on their performance. FHNW supported this concept by developing user profiles and building demonstration websites to explore potential workflows and features. Their work provided a useful starting point for assessing how such a platform could be structured. We appreciate the collaboration and see opportunities to build on these foundations in future developments.»
David Guralnik, aiEndoscopic

Key terms

  • LaryngoscopyMedical procedure to view the throat of a patient.
  • Endotracheal intubationMedical procedure to support a patient breathing
  • DashboardRepresents information via charts and statistics
  • Vue.jsWebframework to build component based websites
  • Chart.jsJavaScript library to create charts
  • TailwindA CSS Framework

Customer

Logo

aiEndoscopic AG
Zürich
Josefstrasse 219
8005 Zürich
Switzerland
https://www.aiendoscopic.com/projects/larynguide

Team

Claudine Christen (BSC Computer Science)

Marlis Etter (BSC Computer Sience)

Advisors
Dr. Erion Elmasllari, Prof. Dr. Arzu Çöltekin, Milena Rudig