))
AI in Dentistry: Diagnosing TMD with MRIs
Manage episode 444599857 series 3605861
Brian Carter द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Brian Carter या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal।
This research paper proposes an AI-driven diagnostic system for Temporomandibular Joint Disorders (TMD) using MRI images. The system employs a segmentation method to identify key anatomical structures like the temporal bone, temporomandibular joint (TMJ) disc, and condyle. Using these identified structures, the system utilizes a decision tree based on their geometrical relationship to classify a patient as having TMD or not. The paper details the system’s development, including data acquisition, preprocessing, model training, and inferencing. The system is evaluated through a k-fold cross-validation, and its performance is assessed based on various metrics like sensitivity, specificity, accuracy, and F1-score. The results suggest that the AI-driven TMD diagnostic system demonstrates significant potential in assisting radiologists with TMJ diagnosis, although further improvements and validation using larger and more diverse datasets are required to enhance its performance and generalizability.
Read more: https://arxiv.org/pdf/2402.03397
38 एपिसोडस
साझा करें
