The First Photo-Based Screening Tool For Sleep Apnea
ApneaCam is a camera-only, AI sleep apnea screening tool that enables fast, anatomy-aware risk stratification for scalable, low-cost clinical and community care.
I’ve seen so many patients struggling with dental, craniofacial issues, without knowing about the link to their existing sleep apnea. Now we can detect OSA just using a mobile device.
Automated Real-Time Feature Extraction
Using Any Camera-Enabled Device
The Right Tool Built On Scientific Evidence
For Insurers, Hospitals & Health Networks
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Triage patients fast, virtually/remotely based on multimodal data, predispisition, comorbidities
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Detect diseases before complex multi-morbidities occur
For Dentists & Primary Care Providers
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Identify patients at risk without borders
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Benefit from real-time accurate risk profiling within a virtual/remote setting
How It Works
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It is the only solution that uses just three images and 10 seconds to assess sleep apnea.
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It closes the diversity gap using computer vision and AI, alongside with craniofacial imaging.
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It is fully mobile, affordable, and comprehensive.
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It identifies underlying health risks in a single family doctor or dentist visit.
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It supports children and patients with comorbidities across all demographics.
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It enables triage and early intervention to reduce long-term costs by starting treatment before comorbidities develop.
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1 Billion OSA Patients Undiagnosed
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15 Million Healthcare Players To Help
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1 Screening Tool To Close The Gap
Fast, Phenotype-Informed Triage
Zero-Hardware Screening In Any Workflow
Meet Our Core Team
Susanna’s 25 years in healthcare and dentistry taught her the strong links between craniofacial/airway features and OSA. She adapts quickly to emerging technologies and seeks out opportunities to use them to make lives better. Having experienced complex health issues where routine clinical exams failed, she is personally motivated to improve diagnostic accuracy for OSA and access to care.
We’re developing a breakthrough AI-powered screening tool for sleep apnea, combining facial image analysis with medical insights. We’re looking for a computer vision and ML engineer to build and integrate new features with our existing NoSAS-based predictor.
Required Skills:
– Strong Python and deep learning skills
– Experience with computer vision and 3D face modeling
– Familiarity with 3D mesh processing libraries
– Solid understanding of model fusion and ML system design
Bonus:
– Prior work in digital health, anatomical modeling, or explainable AI
– Experience with medical datasets or clinical machine learning
Liliana is the Founder of Sunrise Orthodontics and Co-Founder of the Airway and Sleep Group. She is an internationally trained Dental Airway and Sleep Medicine Specialist. Liliana has 30 years of experience practicing in the field of facial and airway development and in studying, treating the craniofacial-respiratory complex.
