How it works
MaskFit streamlines mask selection into four simple steps. Patients complete a quick face scan in clinic or remotely using any camera-enabled device, and the platform converts that scan into standardized measurements that matter for fit—including nostril sizing for nasal pillow options. Those measurements are matched against a large database of mask models and size profiles, while clinical questionnaire responses help identify the most appropriate mask style for the patient. MaskFit then presents a prioritized Recommended list (scan + clinical inputs) alongside a Scan-Matched list (scan only), so patients and clinicians can make confident, informed decisions with less trial-and-error.
Nostrils matter. We actually scan them.
Most fit tools stop at general facial landmarks, which can miss the small details that make or break a seal. MaskFit AR goes further with a patented nostril scan, capturing the nostril-region geometry, the exact fit zone where nasal masks and nasal pillows seal and where leaks usually begin. By measuring what matters most at the point of contact, MaskFit AR reduces trial-and-error, helps you choose the right style and size sooner, and gives you clearer, more actionable guidance, fast.
Scan
Scans can be completed in-clinic or remotely using a secure link sent by email or SMS. Patients use any camera-enabled device, including standard smartphone cameras and webcams, with no special hardware or attachments. Providers can review results in real time as soon as the scan finishes. For privacy, MaskFit does not transmit or store photos; only the fit-related outputs needed for matching are retained.
Measure
MaskFit analyzes facial structure and key fitting landmarks to generate precise, clinically relevant measurements used for mask selection and sizing. It captures facial geometry that affects seal and stability, including nose bridge shape, cheek contours, and jawline structure. MaskFit also measures nostril size, an essential input for nasal pillow fitting, to support more confident pillow sizing.
Match
MaskFit compares the patient’s measurements to a large cross-market database of mask models and size profiles to identify structurally compatible options. It then incorporates clinical questionnaire responses to determine the most appropriate mask style based on therapy needs and comfort considerations. This combined approach prioritizes options that fit both facial anatomy and clinical context.
Recommend
MaskFit presents two clear outputs to support decision-making. The first is a prioritized Recommended list that blends facial measurements with clinical responses to suggest the most suitable style, models, and sizes. The second is a Scan-Matched list based on facial data only, showing all structurally compatible options for transparency and flexibility. Together, they help patients and clinicians compare choices and reduce trial-and-error.
Proven Protection: Patented and Pen-Tested
IP-Protected Technology
