10-minute AI Solution for Obstructive Sleep Apnea (OSA) Assessment
Clarity Without Complexity: A New Way to Test for OSA
Sleep testing doesn’t have to be hard. AmCAD-UO delivers fast, comfortable, AI-powered screening in just 10 minutes, helping clinicians identify risk early and decide next steps with confidence.
1 in 3-5
Globally, OSA affects up to 38% of adults, equivalent to approximately 1 in 3 to 5 adults.
Source: American Academy of Sleep Medicine
1 Billion
936 million people worldwide have at least mild OSA.
Source: Benjafield AV, Ayas NT, Eastwood PR, et al. Estimation of the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis. Lancet Respir Med. 2019;7(8):687-698.
80%
Up to 80% of OSA cases go undiagnosed, delaying treatment and raising health risks.
Source: American Academy of Sleep Medicine, Centers for Disease Control and Prevention
2x
Untreated OSA increases risk of hypertension, heart failure, stroke, and type 2 diabetes.
Source: American Academy of Sleep Medicine
How It Works
Perform a quick 10-minute ultrasound scan while awake.
1
Scan
Analyze
AI analyzes your upper airway images to identify potential collapse areas.
Report
Receive your OSA risk result instantly.
2
3
Objective, Consistent, Trackable Evaluation
Get objective upper airway measurements
Automatically analyzes images of key airway structures and tissue regions, providing standardized metrics for clinical evaluation.
AI-Powered Collapse Risk Detection
AI analyzes upper airway regions (velum, oropharynx, tongue base, epiglottis) to identify potential sites of collapse.
Trackable Treatment Monitoring
The patented laser-guided robotic arm captures consistent ultrasound images across sessions, enabling reliable monitoring of treatment progress.
Clinically Validated Accuracy Against Gold
Standard PSG
0
100
60
40
20
0
0
20
40
60
80
100
80
Sensitivity
AUC = 0.839
P < 0.001
100-Specificity
Receiver operating characteristic (ROC) curves for probability of moderate-severe OSA.
Accurately assess the risk of moderate-to-severe OSA (AHI>15)
Accuracy 83.9% against PSG diagnoses (AUC = 0.839, p < 0.001)
ROC analysis confirms strong diagnostic performance
P < 0.001
AUC = 0.839
