PubMed · 8453521
The source did not provide an abstract. Follow the original record for more information.
Explore connections, maps & timelines
R Jock. 1993. A call to action.. https://pubmed.ncbi.nlm.nih.gov/8453521/
Cite the original work for its findings. Save a collection to share your selection of sources.
KEEP EXPLORING
Artificial intelligence (AI) has been proposed as a tool to improve dental caries detection across imaging modalities; however, its clinical value remains uncertain. This umbrella review aimed to synthesize and critically appraise systematic reviews evaluating AI for caries detection and diagnosis. An umbrella review was conducted following PRIOR guidance (PROSPERO CRD420261340728). Searches were performed in MEDLINE, Embase, Scopus, Web of Science, and Google Scholar up to 15 March 2026. Methodological quality was assessed using AMSTAR 2, and overlap of primary studies was quantified using the corrected covered area (CCA). Seventeen systematic reviews were included, of which five reported diagnostic test accuracy meta-analyses using bivariate or HSROC models. Across these meta-analyses, pooled sensitivity ranged from 0.76 to 0.94 and specificity from 0.85 to 0.91. Most systems were based on deep learning models applied to bitewing radiographs and intraoral photographs. However, substantial heterogeneity was observed in imaging modalities, lesion thresholds, analytical tasks, and evaluation metrics. In addition, a high degree of overlap across reviews and recurrent methodological limitations, including reliance on retrospective datasets, limited external validation, and inconsistent reporting, substantially weaken the reliability of the evidence. Although AI models demonstrate high diagnostic performance under experimental conditions, current evidence does not support their use as stand-alone diagnostic tools. Their clinical applicability remains limited, and implementation should be restricted to decision-support contexts until robust prospective validation demonstrates meaningful impact on clinical decision-making and patient outcomes.
The aim of the present study was to analyze the fatty acid content of carious and sound human dentin. Gas chromatography and gas chromatography-mass spectrometry revealed the presence of fatty acids of C10-C18 size in the carious dentin, whereas fatty acids of C16 size were present in minute amounts in three samples of the corresponding sound dentine controls. No fatty acids were detected in the other sound dentin control samples. The source of fatty acids was considered to be microorganisms invading the dentin during the progression of the caries lesion. The presence of bacterial fatty acids in carious dentin may serve as a marker for the pathological process and thus contribute to the understanding of the mechanisms involved.
BACKGROUND AND OBJECTIVE: Previous investigations have demonstrated improved enamel caries resistance after laser irradiation. In this study, effects of nanosecond pulsed Nd:YAG laser irradiation on crown/root dentin susceptibility to caries-like lesions were investigated. STUDY DESIGN/MATERIALS AND METHODS: Extracted human molar teeth were irradiated using a Q-switched nanosecond pulsed Nd:YAG laser. All teeth except controls were irradiated at: fluence, 1 or 5 J/cm2; spot size, 3 mm; and then subjected to demineralization. Measurements of caries lesion depth using scattering light microscopy and SEM were performed. RESULTS: Lesion depth measurements did not differ significantly between controls and irradiated samples (P < 0.01), but SEM results showed some irradiation-induced alterations on crown and root dentin surfaces. Irradiated surfaces were partially melted, with sometimes narrowed or occluded tubules. CONCLUSION: No consistent caries-protective effect of Q-switched nanosecond pulsed Nd:YAG laser irradiation on crown and root dentin was determined, but laser-induced morphological changes were observed.