Visual field
24-2 protocol with adaptive thresholding, voice-guided. Pre-rendered point list compatible with standard automated perimetry.
GlaucoSim brings the full clinical glaucoma exam (visual field, acuity, contrast sensitivity, anterior segment, quality of life, and contactless acoustic IOP screening) into the patient's home, on devices they already own. Continuous, voice-guided, longitudinal.
Standard care treats progression as a snapshot taken every six to twelve months. Between visits, clinicians rely on patient self-report, single-point IOP measurements, and a treatment plan whose adherence is invisible. The result: late detection of progression, and vision loss that was preventable.
"What happened
between
the last visit
and today?"
Six tests, voice-guided, calibrated to the patient's own device. No specialized hardware. No clinic appointment required. Each result feeds into a longitudinal record that the treating physician can review on a single dashboard, sorted by progression risk.
24-2 protocol with adaptive thresholding, voice-guided. Pre-rendered point list compatible with standard automated perimetry.
Logarithmic chart adapted to the device's true pixel density via DPI calibration. Snellen, E-game, HOTV, Landolt-C variants.
Pelli-Robson-style protocol. Detects functional impairment that visual acuity misses entirely, an early glaucoma signature.
Five gaze positions per eye captured with the smartphone's rear camera and continuous flash. Iris diameter and palpebral fissure scaled in millimeters.
Mangione 2001 validated quality-of-life questionnaire, monthly. Captures the patient-side functional impact that perimetry misses.
A contactless IOP screening method: a low-frequency sweep excites the eye globe and the front camera tracks sub-pixel iris vibration. Resonance frequency relates to scleral stiffness, which relates to intraocular pressure.
Every test, on the patient's own device, voice-guided. No specialist, no specialized hardware, no clinic appointment. The screens below are the actual moments the patient sees during a session, calibrated to their device, scaled to their distance, paced by their cadence.
On-device machine learning keeps the test environment controlled in real time. Face-mesh tracking, pixel-level photometry and gaze monitoring enforce the same protocol every session, on the patient's own device, without a clinician in the room. The same exam, calibrated to whatever screen, distance and lighting the patient has.
Face-mesh-anchored distance estimation enforces the target working distance per take. Per-patient calibration tightens the band on the first frame so optotype size, perimetric eccentricity and acoustic geometry stay constant across sessions.
Pixel-brightness analysis confirms the contralateral eye is properly occluded during every monocular test. The patient gets real-time feedback when the cover slips, so each acuity, perimetry and contrast trial stays truly monocular.
Front-camera photometry checks ambient luminance before every session and throughout each take. Tests gate behind a luminance window so contrast measurements, perimetric thresholds and optotype legibility stay reproducible regardless of room lighting.
Continuous gaze tracking flags fixation losses during perimetry and confirms the patient is looking at the camera during anterior-segment recording. Reliability indices sit next to every visual-field result, the way clinicians expect to read them.
Every test in the platform is grounded in published clinical or biophysical research. We cite the underlying studies for each component (the disease burden, the validated protocols, and the biophysics behind the contactless IOP signal) so clinicians can audit what we built on, not just what we claim.
Two surfaces, one data model. The treating glaucoma specialist sees longitudinal progression and adherence per patient. The patient gets a guided routine that turns a clinic-grade exam into a few minutes a day, on their own device, with no clinic appointment and no extra hardware.
The dashboard a treating physician opens between appointments to triage who needs attention now.
A guided home routine that fits between coffee and the morning eye drops. No training, no extra device, no clinic visit.
Most glaucoma vision loss is preventable when caught early. The bottleneck has never been the science. It is access. We can detect early progression at home, cheaply, with devices patients already own. The clinic visit can stop being the only datapoint.
Mauro is an ophthalmologist trained in clinical glaucoma management and applied machine learning. GlaucoSim was built to close the gap between scheduled clinic visits (where patient deterioration is finally seen) and the months of progression that happen in between.
Your team adds patients, the platform handles onboarding, voice-guided exams, continuous monitoring and clinical reporting. The clinical dashboard is the same one your specialists already know how to read. Setup runs in under an hour, on the devices your patients already own.