Accuracy of Artificial Intelligence based chatbots in reporting jaw lesions from multimodal radiographic images: A cross-sectional study

Dentomaxillofacial Radiology · Published 2026-08-04 · DOI 10.1093/dmfr/twag057

Authors (3)

Noha M Elkersh, Aly M Atteya, Ahmed Elsayed Abdelghany Shararah

Abstract

PubPorta does not have an abstract for this article yet.

Read the article at the publisher →

Publication details

Year

2026

Citation

Elkersh, N., Atteya, A., Shararah, A. (2026). Accuracy of Artificial Intelligence based chatbots in reporting jaw lesions from multimodal radiographic images: A cross-sectional study. Dentomaxillofacial Radiology. https://doi.org/10.1093/dmfr/twag057

Related articles

• Digital Dental Radiology and Diagnostics—From 2D to 3D · Australian Dental Journal · 2025 · Cites or is cited by this article
• Detection of dental restorations and prosthesis devices in panoramic dental X-ray using fast region-based convolutional neural network · Dentomaxillofacial Radiology · 2025 · Same journal
• Leveraging multimodal large language model chatbots in oral radiology: a comprehensive evaluation using questions from a Korean dental university · Dentomaxillofacial Radiology · 2025 · Same journal
• When to perform cone beam computed tomography (CBCT) in primary root canal treatment? A CBCT-based cross-sectional study on the prevalence of MB2 canal in maxillary first molars · Dentomaxillofacial Radiology · 2026 · Same journal
• Image sharpening improves the visibility of reference points on low-dose lateral cephalometric radiographs: a phantom study · Dentomaxillofacial Radiology · 2026 · Same journal
• Novel marker-based cone-beam CT registration for enhanced accuracy in dental implant planning · Dentomaxillofacial Radiology · 2026 · Same journal
• External Validation of Two AI Systems for Dentinal Caries Detection: A Retrospective Pilot Clinical Outcomes Study · Dentomaxillofacial Radiology · 2026 · Same journal
• Assessment of pre-trained deep learning models in the detection of metal artifacts in axial cone-beam tomography slices · Dentomaxillofacial Radiology · 2026 · Same journal
• Automated tooth numbering on panoramic radiographs versus cone-beam computed tomographs: a diagnostic accuracy study of a commercial artificial intelligence system · Dentomaxillofacial Radiology · 2026 · Same journal
• Low-dose cone-beam CT in implant dentistry: a clinical validation of diagnostic sufficiency · Dentomaxillofacial Radiology · 2026 · Same journal