Prediction of Medication-Related Osteonecrosis of the Jaw in Patients Receiving Antiresorptive Therapy Using Machine Learning Models.

Journal: Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons

PMID: 39701551

Abstract

BACKGROUND: Medication-related osteonecrosis of the jaw (MRONJ) is a serious complication associated with the use of antiresorptive agents, impacting patient quality of life and treatment outcomes. Predictive modeling may aid in a better understanding of MRONJ development.

Authors

Kritsasith Warin

Division of Oral and Maxillofacial Surgery, Faculty of Dentistry, Thammasat University, Pathum Thani, Thailand.
Sirasit Lochanachit

Lecturer, School of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand.
Praphan Pavarangkoon

Assistant Professor, School of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand.
Engkarat Techapanurak

Independent Researcher.
Rachasak Somyanonthanakul

College of Digital Innovation Technology, Rangsit University, Pathum Thani, Thailand.

Keywords

Aged Aged, 80 and over Bisphosphonate-Associated Osteonecrosis of the Jaw Bone Density Conservation Agents Female Humans Machine Learning Male Middle Aged Retrospective Studies

External Resources

View on PubMed Access via DOI PubMed (39701551)

Prediction of Medication-Related Osteonecrosis of the Jaw in Patients Receiving Antiresorptive Therapy Using Machine Learning Models.

Abstract

Authors

Keywords

External Resources

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