Science and Validation

Ongoing scientific validation supported by 4,500+ processed clinical cases, continuous learning pipelines, and specialist oversight

4,500+ Validated Cases
96% Average Accuracy
24/7 Human Oversight

Continuous Validation Process

DATA

Data Collection

Each processed case is securely stored and anonymized, enabling statistical analysis and systematic model improvement.

LEARNING

Continuous Deep Learning

Models are automatically retrained with new data, incorporating emerging patterns and edge cases to enhance diagnostic accuracy.

SUPERVISION

Clinical Supervision

Specialists in orofacial pain, TMD/TMJ, and dental sleep medicine review complex outputs to validate accuracy and calibrate algorithms.

IMPROVE

Iterative Improvement

Each clinical evaluation refines the model, forming a continuous improvement cycle aligned with best medical practices.

Deep Learning Technology

Convolutional Neural Networks

Automated analysis of symptom patterns and behavioral signals for early TMD/TMJ assessment

Natural Language Processing

Interpretation of free‑text symptom descriptions authored by patients and clinicians

Clinical Understanding Algorithms

Recognition of patterns in complex medical histories to support differential diagnosis

SENS

Diagnostic Sensitivity

94.2%

Detection rate for positive TMD/TMJ cases

SPEC

Clinical Specificity

91.8%

False‑positive control in differential diagnoses

TIME

Processing Time

18 s

Elapsed time from assessment to preliminary output

REDUCE

Referral Reduction

-35%

Proportion of cases not requiring additional specialist referral

Specialized Human Oversight

Experts in Continuous Monitoring

TMDream operates under continuous oversight by certified specialists in orofacial pain, temporomandibular disorders, and dental sleep medicine.

Real‑time Validation

Specialists review complex outputs and edge cases to ensure maximum accuracy

Protocol Updates

Continuous incorporation of current research and clinical consensus into decision protocols

Quality Control

Periodic performance audits with prompt adjustment when discrepancies are detected

MD

Dr. Marcelo Kreiner

Chief Scientific Officer
Orofacial Pain Specialist

PhD, Umeå University

Data Privacy and Security

LOCK

Advanced Anonymization

Clinical data is processed without personally identifiable information, ensuring patient privacy by design

COMPLIANCE

Medical Compliance

Alignment with GDPR/HIPAA and ISO 27001 security controls for sensitive medical data

SECURE

Advanced Security

End‑to‑end encryption and storage on audited infrastructure following international standards