Attention-guided convolutional network for bias-mitigated and interpretable oral lesion classification.

Accurate diagnosis of oral lesions, early indicators of oral cancer, is a complex clinical challenge. Recent advances in deep learning have demonstrated potential in supporting clinical decisions. This paper introduces a deep learning model for classifying oral lesions, focusing on accuracy, interpretability, and reducing dataset bias.

Blockchain for Trustworthy Artificial Intelligence in Dentistry.

The topic discussed in this commentary could serve as an initial inquiry point that deeply probes into the trustworthiness of an AI solution that a user might consider applying in the field of dentistry.

Canada's First National Oral Health Research Strategy (2024-2030).

Recent years have seen significant positive changes and developments in oral health-related policy and data on oral health and oral health care in Canada. Simultaneously, on the international stage, the momentum for oral health and related research continues to build. These changes have led to an initiative to create Canada's first National Oral Health Research Strategy (NOHRS), which was recently published by the Canadian Institutes of Health Research-Institute of Musculoskeletal Health and Arthritis (Allison and Rock 2024).