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Review
. 2024 Jan;30(1):23-37.
doi: 10.1111/odi.14641. Epub 2023 Jun 19.

Artificial intelligence in salivary biomarker discovery and validation for oral diseases

John Adeoye  1 , Yu-Xiong Su  1
Affiliations
Review

Artificial intelligence in salivary biomarker discovery and validation for oral diseases

John Adeoye et al. Oral Dis. 2024 Jan.

Abstract

Salivary biomarkers can improve the efficacy, efficiency, and timeliness of oral and maxillofacial disease diagnosis and monitoring. Oral and maxillofacial conditions in which salivary biomarkers have been utilized for disease-related outcomes include periodontal diseases, dental caries, oral cancer, temporomandibular joint dysfunction, and salivary gland diseases. However, given the equivocal accuracy of salivary biomarkers during validation, incorporating contemporary analytical techniques for biomarker selection and operationalization from the abundant multi-omics data available may help improve biomarker performance. Artificial intelligence represents one such advanced approach that may optimize the potential of salivary biomarkers to diagnose and manage oral and maxillofacial diseases. Therefore, this review summarized the role and current application of techniques based on artificial intelligence for salivary biomarker discovery and validation in oral and maxillofacial diseases.

Keywords: artificial intelligence; machine learning; maxillofacial conditions; oral diseases; salivary biomarkers.

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References

REFERENCES

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