Artificial Intelligence-Driven Segmentation of Three Oral Diseases: Enabling Precision Diagnosis and Decision Support

20260 citationsJournal Articlegold Open Access

Authors

Baowen Cheng · Shanghai Institute of Microsystem and Information Technology

Meijuan Xiang · Shanghai University of Traditional Chinese Medicine

Zhuofan Zhao · Shanghai Institute of Microsystem and Information Technology

Xiaodong Zhang · NXP (Germany)

Yu-feng Wang · Shanghai Ninth People's Hospital

Shuyun Ge · Shanghai Ninth People's Hospital

Fang Zhao

Abstract

The proposed integrated dataset-model pipeline facilitates the development of dependable AI tools capable of aiding clinicians in prompt diagnosis, mitigating diagnostic inconsistencies, and augmenting decision-making processes within standard oral health care practices.

Topics & Keywords

Dental Radiography and Imaging Brain Tumor Detection and Classification AI in cancer detection

UN Sustainable Development Goals

Peace, Justice and strong institutions

Publication Details

Published in: International Dental Journal

Volume 76, Issue 3, pp. 109486-109486

DOI: 10.1016/j.identj.2026.109486

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