Prediction of medication-related osteonecrosis of the jaw (MRONJ) using automated machine learning in patients with osteoporosis associated with dental extraction and implantation: a retrospective study
Author:
Affiliation:
1. Department of Oral and Maxillofacial Surgery, College of Dentistry, Dankook University, Cheonan, Korea
Publisher
The Korean Association of Oral and Maxillofacial Surgeons
Subject
Oral Surgery,Surgery
Link
http://pdf.medrang.co.kr/Jkoms2/2023/049/Jkoms049-03-05.pdf
Reference22 articles.
1. Machine learning to predict the occurrence of bisphosphonate-related osteonecrosis of the jaw associated with dental extraction: A preliminary report
2. Prediction of Hidden Coronary Artery Disease Using Machine Learning in Patients With Acute Ischemic Stroke
3. Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm
4. New approach for the diagnosis of extractions with neural network machine learning
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1. Applications of artificial intelligence for surgical extraction in stomatology: a systematic review;Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology;2024-09
2. Assessing the Potential Role of Artificial Intelligence in Medication-Related Osteonecrosis of the Jaw Information Sharing;Journal of Oral and Maxillofacial Surgery;2024-06
3. Key insights into antiresorptive drug use and osteonecrosis in osteoporotic patients undergoing tooth extractions: A clinical and CBCT assessment;Osteoporosis International;2024-05-20
4. Prevalence and Factors Influencing Post-Operative Complications following Tooth Extraction: A Narrative Review;International Journal of Dentistry;2024-05-09
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