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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Reinhilde Jacobs

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Open access Oct 2026

A Novel AI-Assisted 3D Hybrid Soft and Hard Tissue Model for Peri-implant Diagnosis and Treatment Planning: A Proof-of-Concept Study of Immediate Implant Planning in the Anterior Maxilla.

OBJECTIVES Immediate implant placement in the maxillary esthetic zone requires precise three-dimensional (3D) positioning within compromised sockets. Conventional planning platforms integrate cone-beam computed tomography (CBCT) and intraoral scanning (IOS) data but exclude critical parameters such as gingival phenotyp...

E. Dawood, Dhanaporn Papasratorn, Volodymyr Shelkovyi et al. · 0 citations
Sep 2026

Transversal accuracy and stability of segmented Le Fort I osteotomy.

OBJECTIVES To prospectively evaluate the transversal surgical accuracy and one-year stability of segmented Le Fort I osteotomy using a validated three-dimensional (3D) voxel-based assessment protocol. METHODS In this prospective single-center study, patients undergoing two-piece or three-piece segmented Le Fort I ost...

O. da Costa, Eman Shaheen, Pourkarim Ali Reza et al. · 0 citations
Open access May 2026

A novel fluoride tray-assisted workflow for artificial intelligence-driven automated maxillary gingival segmentation on cone beam CT

The use of a fluoride tray for soft tissue separation during CBCT scans facilitates gingival visualization while maintaining patient comfort, enabling accurate and time-efficient AI-driven segmentation of maxillary marginal and supracrestal gingiva.

Dhanaporn Papasratorn, Rellyca Sola Gracea, Rocharles Cavalcante Fontenele et al. · 1 citation
#software testing Open access Aug 2026

GENERALIZABILITY OF CLOUD-BASED AI SOFTWARE FOR ANTERIOR TOOTH SEGMENTATION IN MULTICENTER CBCT DATASETS: AN EXTERNAL VALIDATION STUDY.

The reduced segmentation time and consistent performance across CBCT systems support the potential integration of cloud-based AI segmentation into digital dental workflows, especially for anterior teeth, where accurate morphology is clinically relevant.

Gabriel Cunha Adiverci, Erielma Lomba Dias Julião, A. Leite et al. · 1 citation

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