From Population Health to Personalized Care: Scaling OSA Risk Detection with AI

The Global Scale of an Invisible Problem

Obstructive sleep apnea affects millions worldwide, yet the vast majority remain undiagnosed. Untreated OSA increases the risk of cardiovascular disease, diabetes, depression, and accidents, both at home and in the workplace. The challenge? Our current tools can’t keep up.

The world doesn’t have an OSA treatment problem, it has a detection, engagement, and pathway problem. Soliish solves that by making identification instant, frictionless, and actionable.

Traditional screening methods require patient engagement, clinician time, and often in-person visits. They simply don’t scale to community-wide or population-wide screening efforts. This leaves millions of high-risk individuals unidentified until their symptoms become severe.

Why Scale Has Always Been the Sticking Point

Population health initiatives have long struggled with OSA screening because:

  • Manual tools aren’t scalable: Questionnaires require human administration and interpretation.
  • Symptoms aren’t universal: Non-obese patients or those without obvious snoring often get overlooked.
  • Access is uneven: Many rural or underserved communities lack specialists or sleep labs.

The result? Late diagnoses, higher treatment costs, and preventable health deterioration.

The Shift to AI-Powered Screening

Enter Facial Biometrics + AI, a combination that makes population-scale screening possible.

A pivotal study published in April 2020 — “Predicting sleep apnea from three-dimensional face photography” (Eastwood et al., Journal of Clinical Sleep Medicine) — demonstrated that facial biometrics could predict OSA risk with:

  • 89% accuracy using geodesic 3D measurements.
  • 86% accuracy using traditional 2D measurements.

With Soliish’s FaceX, a single selfie can:

  • Objectively measure craniofacial traits linked to OSA risk.
  • Deliver results in seconds.
  • Trigger appropriate follow-up, from telehealth consults to home sleep testing.

And because it’s entirely digital, it can be deployed anywhere:

  • Employer wellness programs.
  • Community health fairs.
  • Telemedicine onboarding.
  • School or university health screenings.

Personalization at Scale

The misconception about large-scale screening is that it has to be one-size-fits-all. With AI, the opposite is true. This generates an individualized risk profile for each patient, guiding them to the right next step whether that’s reassurance, further monitoring, or immediate diagnostic testing.

Making Screening Equitable

Perhaps the most powerful impact of AI-driven facial screening is in equity. By removing reliance on symptom reporting or specialist access, we can reach populations historically excluded from OSA screening efforts people in rural areas, low-income communities, or places without robust healthcare infrastructure.

From Public Health to Personal Health

Scaling screening doesn’t mean losing the personal touch. In fact, it’s the opposite: the more people we can assess early, the more opportunities we have to personalize care and prevent the serious consequences of untreated sleep apnea.