Point-of-Care Detection of Dental Caries via AIE Probe: Clinical Validation Data

A 205.9 MB collection of experimental and clinical data supporting the development of an AIE-based fluorescent probe for dental caries detection. The dataset includes results from absorption and emission spectra, reaction kinetics, specificity tests against Streptococcus mutans, and diagnostic performance comparisons with conventional methods like CSI, PLI, and Cariostat. Clinical validation data from patient studies and files for a high-throughput saliva screening platform and wearable dental braces are also present.

Use Cases

• Training ML models for caries risk assessment based on fluorescence intensity correlation with diagnostic indices.
• Developing computer vision models for lesion localization using data from wearable dental braces.
• Benchmarking new diagnostic tools against established methods like the caries severity index (CSI) and plaque index (PLI).
• Analyzing high-throughput saliva screening data for population-level caries risk patterns.

Strengths

• Includes clinical validation data showing high concordance with professional dental examinations.
• Contains results from multiple established diagnostic indices (CSI, PLI, ADA risk assessment, Cariostat) for comparison.
• Dataset size is 205.9 MB, indicating a medium-scale collection of supporting files.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific ML tasks.
• Description metadata is limited; actual data quality and structure require manual inspection.

Provenance

Source

figshare, authored by Xuanmeng An.

Collection Method

Experimental and clinical study data generated from absorption/emission tests, reaction kinetics, specificity assays, and patient examinations.

Freshness

Last updated 2026-05-19 11:34:51; freshness should be verified.