Deep learning to assess bone quality from panoramic radiographs: the feasibility of clinical application through comparison with an implant surgeon and cone-beam computed tomography-Reference-Cited by-同舟云学术

Deep learning to assess bone quality from panoramic radiographs: the feasibility of clinical application through comparison with an implant surgeon and cone-beam computed tomography

Published:2024 Issue: Volume:54 Page:
ISSN:2093-2278
Container-title:Journal of Periodontal & Implant Science
language:en
Short-container-title:J Periodontal Implant Sci

Author:

Lee Jae-Hong¹²^ORCID,Yun Jeong-Ho¹²^ORCID,Kim Yeon-Tae³^ORCID

Affiliation:

1. Department of Periodontology, College of Dentistry and Institute of Oral Bioscience, Jeonbuk National University, Jeonju, Korea.

2. Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Korea.

3. Department of Periodontology, Daejeon Dental Hospital, Institute of Wonkwang Dental Research, Wonkwang University College of Dentistry, Daejeon, Korea.

Funder

National Research Foundation of Korea

Jeonbuk National University

Publisher

XMLink

Link

https://jpis.org/pdf/10.5051/jpis.2302880144

Reference40 articles.

1. Implant therapy: 40 years of experience

2. Incidence and pattern of implant fractures: A long-term follow-up multicenter study

3. Long-term (10-year) dental implant survival: A systematic review and sensitivity meta-analysis

4. Evaluation of failed implants and reimplantation at sites of previous dental implant failure: survival rates and risk factors

5. Bone Quality and Quantity and Dental Implant Failure: A Systematic Review and Meta-analysis

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