Artificial Intelligence in Predicting Surgical Problems and Postoperative Morbidity in Mandibular Third Molar Extractions
AI-based models can effectively predict MTM extraction difficulty and postoperative morbidity, facilitating personalized treatment planning.
Authors
- Pallavi Karadiguddi (ORCID: https://orcid.org/0000-0003-2967-5952)
- Munaz Mulla
- Abdul Kalam Azad (ORCID: https://orcid.org/0000-0002-9565-4140)
- S. Mohapatra (ORCID: https://orcid.org/0000-0003-3006-6337)
- Nazargi Mahabob
- Mushir Mulla (ORCID: https://orcid.org/0000-0002-2418-468X)
- Sajid Ahmed Sanadi
- Abhigyan Manas
Institutions
- Qassim University (SA)
- Adesh University (IN)
- Buraydah Colleges (SA)
- King Abdullah Medical City (SA)
- King Faisal University (SA)
- KIIT University (IN)
- Karnataka Institute of Medical Sciences (IN)
- Saveetha University (IN)
Publication Details
- Journal
- Annals of African Medicine
- Published
- 2026-03-16
- DOI
- https://doi.org/10.4103/aam.aam_573_25
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00