Project PID2023-148358OB-I00 DIAMOND
Development of an Advanced Platform for Diagnosis and Treatment of Nasal Obstruction with 3D Morphometry, Fluid Mechanics and Machine Learning
Of National scope. With a Public character. It has been granted under a regime of Competitive.
Our proposal represents a decisive step forward in the field of otolaryngology, addressing a prevalent societal issue: nasal respiratory pathologies. This interdisciplinary project unites 3D Geometric Morphometry (MG-3D), Computational Fluid Dynamics (CFD), and Machine Learning (ML), a branch of artificial intelligence, to transform diagnostic and treatment methods for these pathologies. The DIAMOND project focuses on addressing the critical challenge of variability, lack of precision, and inadequate personalization in the diagnosis and treatment of nasal pathologies. Despite technological advances, many specialists face difficulties in correlating symptoms with physical findings and complementary tests, often resulting in ineffective treatments. Literature has documented a persistence rate of nasal obstruction post-surgery ranging from 9% to 41% of cases. DIAMOND offers an integrated solution to overcome these limitations. MG-3D in DIAMOND enables the creation of detailed models of nasal anatomy, assisting physicians in visualizing and analyzing structural variations affecting breathing. This capability is crucial for planning nasal surgeries and other interventions with unprecedented precision. On the other hand, CFD is used to simulate airflow within the respiratory pathways, identifying obstruction areas and assessing how virtual surgeries interventions can optimize breathing. This tool provides a detailed view of the impact of alterations in nasal structure on
Researchers
