Journal of Medicine and Dentistry
International Peer-Reviewed Journal of Medical and Dental Sciences
An international journal devoted to the advancement of scientific knowledge and clinical excellence in both medicine and dentistry, serving practitioners and researchers worldwide
Original Rearch Article– Apr 21, 2026
AI-Assisted Virtual Surgical Planning and 3D-Printed Splint Transfer in Bimaxillary Orthognathic Surgery: A Prospective Feasibility Study
Yildirim A., Hertach R., and Yildirim V.
This prospective feasibility study evaluated AI-assisted virtual surgical planning and 3D-printed splint transfer in bimaxillary orthognathic surgery. AI-guided workflows demonstrated high surgical accuracy, stable clinical integration, and favorable postoperative outcomes compared with conventional planning methods.
Original Rearch Article– Apr 16, 2026
Real-World Clinical Implementation of AI-Guided Surgical Workflows in Maxillofacial Trauma Surgery: A Multicenter Translational Study
Yildirim A., Hertach R., and Yildirim V.
This multicenter translational study evaluated the real-world implementation of AI-guided surgical workflows in maxillofacial trauma surgery. AI-assisted workflows demonstrated high clinical feasibility, increasing surgeon acceptance, and stable integration into routine surgical practice.
Original Rearch Article– Apr 13, 2026
Cost-Effectiveness and Health Economic Impact of AI-Guided 3D-Printed Surgical Workflows in Maxillofacial Trauma Surgery: A Prospective Multicenter Analysis
Yildirim A., Hertach R., and Yildirim V.
A prospective multicenter study evaluated the clinical and economic impact of AI-guided 3D-printed surgical workflows compared with conventional approaches in maxillofacial trauma surgery. The AI-guided approach significantly reduced operative time, complications, and overall treatment costs, resulting in improved cost-effectiveness.
Original Rearch Article– Apr 02, 2026
Long-Term Functional and Aesthetic Outcomes of AI-Guided 3D-Printed Surgical Guides in Maxillofacial Trauma: A Prospective Follow-Up Study
Yildirim A., Hertach R., and Yildirim V.
This randomized controlled trial demonstrates that AI-guided 3D-printed surgical guides significantly improve surgical accuracy and reduce operative time compared to conventional workflows in maxillofacial trauma surgery.
Original Rearch Article– Mar 28, 2026
Randomized Controlled Trial Evaluating AI-Guided 3D-Printed Surgical Guides Versus Conventional Surgery in Maxillofacial Trauma
Yildirim A., Hertach R., and Yildirim V.
This randomized controlled trial demonstrates that AI-guided 3D-printed surgical guides significantly improve surgical accuracy and reduce operative time compared to conventional workflows in maxillofacial trauma surgery.
Original Rearch Article– Mar 24, 2026
Two-Center Prospective Clinical Feasibility Study Evaluating AI-Guided 3D-Printed Surgical Guides in Maxillofacial Trauma Surgery
Yildirim A., Hertach R., and Yildirim V.
This prospective two-center clinical feasibility study evaluates the integration of AI-guided planning with patient-specific 3D-printed surgical guides to improve precision and efficiency in maxillofacial trauma surgery.
Original Rearch Article– Jan 23, 2026
Prospective Implementation of AI-Assisted CBCT-Based Clinical Decision Support in Emergency Maxillofacial Trauma Care
Yildirim A., Hertach R., and Yildirim V.
This prospective study implements an AI-assisted, CBCT-based clinical decision support system in emergency maxillofacial trauma care. It evaluates feasibility and clinical impact on diagnostic accuracy, treatment planning, and workflow efficiency in real-world emergency settings.
Original Rearch Article– Mar 01, 2026
Artificial Intelligence in Maxillofacial Trauma: From Fracture Detection to Outcome Prediction – A Translational Multicenter Analysis
Yildirim A., Hertach R., and Yildirim V.
This study presents a comprehensive translational analysis of artificial intelligence applications in maxillofacial trauma, demonstrating high accuracy across fracture detection, imaging interpretation, surgical planning, and outcome prediction. The results show that AI can be successfully integrated into clinical workflows, significantly improving decision-making, efficiency, and patient-specific treatment strategies in a multicenter setting.
Translat. Framework Study– Mar 21, 2026
Artificial Intelligence and Additive Manufacturing in Maxillofacial Trauma Surgery: A Translational Framework for Fracture Detection, Digital Planning, Patient-Specific Reconstruction, and Outcome Prediction
Yildirim A., Hertach R., and Yildirim V.
This paper presents a translational framework that integrates artificial intelligence and additive manufacturing into a continuous workflow for maxillofacial trauma surgery, from fracture detection to patient-specific reconstruction and outcome prediction. It highlights how combining these technologies can improve diagnostic accuracy, surgical planning, operative precision, and enable personalized, data-driven treatment strategies.
Advancing Health at the Intersection of Medicine and Dentistry.
Time to first decision 30 days
Submission to acceptance 120 days
Acceptance to publication 80 days
Acceptance Rate 24%
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International Peer-Reviewed Journal of Medical and Dental Sciences
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