Asmaa Abou-Bakr

Diagnostic Accuracy of Multimodal Large Language Models for Four-Class Benchmark of Oral Autoimmune Blistering Diseases: A Multicenter Paired Study

Background/Objectives: To compare the diagnostic performance of Claude Opus 4.7 and Gemini Pro 3 for the differential diagnosis of oral autoimmune blistering diseases (AIBDs) and evaluate their diagnostic reasoning, confidence, and calibration. Materials and Methods: This retrospective multicenter paired diagnostic acc...

Coronally advanced flap with platelet-rich fibrin or amniotic membrane for the treatment of gingival recession: a systematic review and meta-analysis with trial sequential analysis.

Diagnostic accuracy of multimodal large language models compared with oral medicine specialists: a benchmarking study in salivary gland diseases

This study aimed to compare the diagnostic accuracy of multimodal Large Language Models (LLMS), namely, ChatGPT-5, ChatGPT-4o, and Gemini Pro 2.5, with board-certified oral medicine specialists. In this retrospective diagnostic accuracy study, 300 histopathologically confirmed salivary gland disease cases served as the...

Artificial intelligence–based segmentation of mandibular canal on cone-beam computed tomography: a systematic review and meta-analysis