
The Ateneo Laboratory for Intelligent Visual Environments (ALIVE) and international researchers have developed a highly accurate AI-powered dental assistant that can quickly detect signs of odontogenic sinusitis.
Often misdiagnosed as general sinusitis, odontogenic sinusitis could spread infection to the eyes, face, and even the brain when left unchecked.
The said issue is notoriously hard to diagnose as its symptoms are nearly identical to ordinary sinusitis.
Researchers used the YOLO (You Only Look Once) 11n deep learning model, which achieves an impressive 98.2% accuracy in detecting odontogenic sinusitis, beating traditional detection methods.
The study used dental panoramic radiograph (DPR) images to train deep learning models, which then helped accurately find key anatomical relationships, such as the proximity of tooth roots to sinuses.
Researchers highlighted the benefits of this AI-driven approach, like how it minimizes the patient’s exposure to radiation from CT scans. Plus, it’s more cost-effective, especially in areas where advanced imaging technology may not be available.
Spotting potential cases early also leads to prompt intervention to prevent further complications.
This article, Ateneo, int’l researchers develop precise AI dental assistant, was originally published at NoypiGeeks | Philippines Technology News, Reviews and How to's.
Comments
Post a Comment