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Atlas of Digital Implant Dentistry
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Abstract
A new "atlas" for implant treatment in the digital age, integrating anatomy, imaging, diagnosis, and simulation. From beginners to experts! Provides knowledge that is "easy to read, easy to see, and immediately usable" with diverse cases and abundant images. From CT image diagnosis to simulation, IOS matching, and CAD/CAM prosthetics, bring the digital workflow of implant treatment into your clinical practice! [Table of Contents] Introduction Chapter 1 Anatomy Necessary for Implant Treatment Chapter 2 Various Imaging Examination Methods and CT Image Interpretation for Implant Treatment Chapter 3 Normal Image Anatomy Chapter 4 Image Diagnosis Chapter 5 Simulation Chapter 6 Practical Application of Digital Workflow: CT, IOS, and CAD/CAM Case Studies Chapter 7 The Cutting Edge of Implant Treatment Evolving with Images and AI Index Author List
Author’s Information
Takashi Kaneda, Specially Appointed Professor, Department of Radiology, Nihon University Matsudo School of Dentistry. Graduated from Nihon University Matsudo School of Dentistry in 1986. Became an assistant professor at Nihon University in the same year. Became a lecturer at Nihon University in 1993. Became a research fellow at Nihon University in 1996. Became a research fellow at the Department of Radiology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, and Massachusetts General Hospital in the United States. Became a professor at Nihon University in 1999. Became a specially appointed professor at Nihon University in 2025. Specially Appointed Professor at Nihon University in 2025. Specialist and Instructor of the Department of Radiology, Matsudo School of Dentistry, Japanese Society of Dental Radiology, Specialist and Instructor of the Japanese Society of Temporomandibular Joint, Japanese Society of Oral Implantology.
| Series/Label | --- |
|---|---|
| Released Date | Feb 2026 |
| Price | ¥15,000 |
| Size | 210mm×297mm |
| Total Page Number | 200 pages |
| Color Page Number | --- |
| ISBN | 9784263447734 |
| Genre | Medicine > Nursing |
| Visualization experience | NO |




