TMDream integrates medical‑grade NLP with specialized differential‑diagnosis engines to support high‑quality clinical decisions with measurable efficiency gains.
Research since 2020 explores artificial neural networks for diagnosing TMD/TMJ and orofacial pain.
Results were published in Journal of Oral Rehabilitation (Wiley): “A novel artificial neural network for the diagnosis of orofacial pain and temporomandibular disorders,” a milestone for AI in this field.
This work underpins TMDream’s clinical logic, ensuring features are anchored in validated evidence.
Patients complete an adaptive intake form that captures symptoms and history; inputs are normalized via medical NLP.
Specialized neural networks identify patterns and clinical correlations in seconds.
Up to three prioritized diagnostic hypotheses are produced with confidence levels to support clinical decision‑making.
Clinicians validate and adjust outputs; AI functions as decision support—not a substitute for clinical judgment.
Control panel with automatic outputs and real‑time patient management
Automated clinical assessment powered by medical natural language processing
Differential diagnosis with prioritized hypotheses and confidence levels
Comprehensive patient tracking with longitudinal treatment progress