AI-based open-source software for cephalometric analysis from limited FOV radiographs
This software integrates AI into clinical practice to enhance the diagnostic and therapeutic phases for patient benefit. It enables precise and comprehensive cephalometric analyses using data previously considered insufficient, thereby reducing the need for X-rays and improving patient care.
Authors
- Luca Levrini (ORCID: https://orcid.org/0000-0002-2412-7765)
- Marcella Reguzzoni (ORCID: https://orcid.org/0000-0003-3738-6632)
- Davide Donadio (ORCID: https://orcid.org/0000-0002-2150-4182)
- Piero Antonio Zecca (ORCID: https://orcid.org/0000-0001-9646-4958)
- Andrea Carganico (ORCID: https://orcid.org/0000-0002-3729-7923)
- Marina Protasoni (ORCID: https://orcid.org/0000-0002-8405-596X)
- Davide Tosi (ORCID: https://orcid.org/0000-0003-3815-2512)
- Margherita Caccia (ORCID: https://orcid.org/0009-0001-0819-0385)
Institutions
- University of Insubria (IT)
Publication Details
- Journal
- Journal of Dentistry
- Published
- 2024-10-20
- DOI
- https://doi.org/10.1016/j.jdent.2024.105412
- Citations
- 4
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.97