A Dual-Camera Eye-Tracking Platform for Rapid Real-Time Diagnosis of Acute Delirium: A Pilot Study.
Ahmed Al-HindawiMarcela P VizcaychipiYiannis DemirisPublished in: IEEE journal of translational engineering in health and medicine (2024)
Eye-tracking is a biological signal that can be used to identify delirium in patients in ICU. The platform, alongside the trained neural networks, can automatically, objectively, and continuously classify delirium aiding in the early detection of the deteriorating patient. Future work is aimed at prospective evaluation and clinical translation.
Keyphrases
- neural network
- cardiac surgery
- end stage renal disease
- hip fracture
- high throughput
- ejection fraction
- chronic kidney disease
- intensive care unit
- liver failure
- prognostic factors
- peritoneal dialysis
- case report
- acute kidney injury
- high speed
- machine learning
- patient reported outcomes
- mass spectrometry
- patient reported
- convolutional neural network
- quantum dots
- loop mediated isothermal amplification
- low cost