Are morning headaches, jaw clicking, or lockjaw disrupting your day? Explore a digital TMJ screening workflow that organizes movement, muscle, bite, and imaging data for clinician review.
Hold your phone to your jaw. Open and close slowly. The browser analyzes the acoustic signature of your joint in real-time — completely private, zero data sent anywhere.
🔒 100% private. All audio processing runs inside your browser. Nothing is recorded, stored, or transmitted. HIPAA-safe by design.
One click activates your camera. Edge AI maps your face landmarks locally — no data leaves your device. Track your Menton deviation and get a TMJ Kinematic Risk Score instantly.
Edge AI runs 100% locally via WebAssembly — Google MediaPipe Face Landmark Detection. Your video never leaves the browser.
3 minutes. 10 questions. A clinical-grade estimate of your TMJ health — shareable with your dentist.
Drag the slider to see the difference between a healthy joint and Disc Displacement (the "click").
Educational schematic: in a stable TMJ, the articular disc remains between the condyle and fossa during opening.
Share to explain your pain to family, friends, or your current dentist.
3 questions. Immediate clinical recommendation.
Rotate, zoom, and explore an educational 3D model of the temporomandibular joint. Switch between normal mechanics and common movement patterns to understand disc-condyle relationships.
🖱️ Drag to rotate · Scroll to zoom · Educational anatomical GLB — 55-mesh TMJ skeleton
"Morning headaches can overlap with bruxism, jaw-muscle overload, sleep, and TMJ factors. A structured screening workflow helps dentists separate the signals."
"TMD patients often move between several providers. AI TMD Analyzer is designed to organize clinical and instrumental evidence into one review workflow."
"Bruxism cases have surged 34% post-pandemic, directly correlated with chronic stress, remote work screen time, and disrupted sleep patterns."
We organize bite, joint, muscle, and imaging signals so a clinician can review how the occlusion relates to TMJ movement.
Disc displacement with or without reduction can be screened by correlating opening pattern, reciprocal clicks, limitation, and imaging findings.
Chronic clenching may overload masseter and temporalis muscles. Surface EMG adds muscle-activity context for clinician review.
Asymmetrical condylar form or growth can contribute to bite shifts. CBCT and clinical examination help determine the relevant pattern.
Focused pages for TMJ diagnosis support, TMD analysis, TMJ education, digital temporomandibular planning, digital occlusion, and how to perform occlusion analysis digitally.
How clinician review uses symptoms, jaw motion, imaging, muscle, and occlusion evidence before diagnosis.
How TMJ cases are reviewed across pain, movement, muscle activity, imaging, and bite data.
A plain clinical overview of the temporomandibular joint, common symptoms, and digital review context.
How digital occlusion records and bite timing can support TMJ and TMD clinician review.
How structured TMJ evidence supports clinician-led planning, communication, and follow-up.
Gathering all instrumental and evidence-based analysis in one unified dashboard.
High-fidelity kinematic analysis. Condylar paths, incisal traces, and ranges of motion from Zebris or Modjaw XML data.
Bilateral Masseter & Temporalis recruitment with normative threshold mapping. Catch hypertonia and asymmetry instantly.
Evidence-based clinical exams integrated alongside instrumental data.
Smart intake that triages red flags before the exam starts.
Osseous architecture reviewed alongside disc dynamics. AI-supported cues organize structural and functional findings for clinician review.
Our software organizes 120+ clinical and instrumental parameters, flags patterns for clinician review, and presents a transparent TMJ screening score.
Founder of Occlusa.health | Perio-Implantologist | Co-founder of Digital Dentistry Schoology | Owner of HS Dental Clinic
Dr. Haitham Sharshar is a Cairo-based perio-implantologist and digital dentistry educator building Occlusa around a simple clinical principle: TMJ and occlusion decisions should be reviewed from organized evidence, not isolated symptoms or single-device screenshots.
His work connects CBCT, jaw-motion tracking, Surface EMG, digital occlusion, virtual articulator planning, CAD/CAM workflows, and clinician-led TMD analysis into the AI TMD Analyzer platform.