Dr. Yashas N Raj, BDS, MDS, is a dedicated Oral and Maxillofacial Surgeon with specialised expertise in maxillofacial trauma, dental implants, and dentoalveolar surgery. He completed his BDS from Government Dental College and Research Institute, Bangalore, and his MDS from SDM College of Dental Sciences and Hospital. Committed to evidence-based treatment and continuous learning, he combines strong clinical practice with active academic and research contributions.
- Phone: +91 91411 60212
- Email: contact@credencedental.com
- Website: credencedental.com
Dr. Yashas brings a well-rounded profile to Credence Dental, one that spans surgical expertise, academic teaching, and active research. Currently serving as Senior Lecturer in the Department of Oral and Maxillofacial Surgery at Dayananda Sagar College of Dental Sciences (2024–present), he brings the rigour of academic practice directly into his clinical work.
His areas of surgical specialisation include:
- Maxillofacial trauma management
- Endosseous dental implants
- Zygomatic and pterygoid implants
- Dentoalveolar surgery
- Impaction surgery and minor oral surgical procedures
Dr. Yashas has presented scientific papers at national and international platforms including the 16th Asian Congress of Oral and Maxillofacial Surgery and AOMSI NextGen 2025, where he also served as Chairperson for scientific paper presentation sessions.
Publications
- Comparative Study of Vermilion Lip Symmetry in Cleft and Non-cleft Side and its Correlation with Alveolar Cleft Defect in Unilateral Cleft Lip Alveolus and Palate Repair with and Without Nasoalveolar Moulding (NAM)
- Biomaterials in Dental Implantology — International Journal of Dental Sciences and Clinical Research
- Tissue Engineering in Oral and Maxillofacial Surgery — International Journal of Dental Sciences and Clinical Research
- The Role of ChatGPT in Modern Oral and Maxillofacial Surgery — A Narrative Review
- Evaluation of Anxiety-Induced Hemodynamic Response in Known Hypertensive Patients Undergoing Surgical Removal of Impacted Mandibular Third Molar Surgery: An Observational Study
- Machine Learning Prediction of Autonomic Nervous System Dysfunction Using Multimodal Physiological Signals