Clinical Research Directory

Machine Learning for Evaluating and Diagnosing Temporomandibular Disorders

This study aims to improve clinical efficiency and effectiveness in treating Temporomandibular Disorders (TMD). The researchers will integrate machine learning technology with clinical examination data, CBCT, and MRI to identify the core underlying issues of each patient. Based on this precise, AI-assisted diagnosis, the study will implement a tailored treatment framework. The final goal is to develop predictive algorithms that can determine MRI necessity while ensuring that clinical interventions are highly targeted, efficient, and successful.

Virtual Planning of Total TMJ Replacement

Virtual Planning of Total TMJ Replacement

Clinical, Microbial and Tissue-based Characterization of Patients Treated for Severe Temporomandibular Joint Pathology

The general objective of this observational study is to clarify the clinical, microbial, and tissue characteristics, aetiology, and risk factors behind severe TMJ pathology. The main questions it aims to answer are: * What are the clinical and histologic characteristics of patients with severe pathology of the TMJ? * Can microbial DNA be found in TMJ tissue from patients with severe pathology of the TMJ, and if so, does this correlate to the outcome of the surgery?

FMRI Study on DC/TMD Patients

Temporomandibular disorders (TMD) are among the most common causes of chronic pain worldwide. It is estimated that about 5-12% of the global population is affected, and some conditions, such as arthritis, may be causative factors. Depending on severity, the joints involved can affect multiple functions of the masticatory system, such as the ability to speak, chew, swallow, limit facial expressions, and even breathe. Moreover, most patients with TMD may report painful conditions in other parts of the body, with comorbidities including chronic fatigue syndrome, chronic headache, endometriosis, fibromyalgia, interstitial cystitis, irritable bowel syndrome, back pain, sleep disorders, and vulvodynia. Another significant condition that frequently occurs alongside TMD is psychological distress in the form of anxiety and/or depression. The study proposed by this research protocol aims to investigate the presence of TMD and associated psychological/psychiatric disorders such as anxiety and depression. The innovative value of the research lies in evaluating whether the association between these disorders may lead to neuroplastic changes at the brain level, which could guide targeted therapies. Only a few studies in the literature have explored this possible association, with inconclusive and conflicting results. The study will be prospective in design, based on reference clinical/diagnostic criteria and functional neuroimaging.