Pioneering a New Frontier: Artificial Intelligence (AI)-Driven Lip Print Pattern Analysis--A Systematic Review

• Published in: Journal of Indian Academy of Oral Medicine and Radiology 2024-07, Vol.36 (3), p.206-212
• Main Authors: Maheswari, T. N. Uma, Bohra, Ankita, Sharuniveda, S
• Format: Article
• Language: English
• Subjects: Algorithms; Analysis; Artificial intelligence; cheiloscopy; forensic dentistry; Machine learning; neural networks
• ISSN: 0972-1363; 0975-1572
• DOI: 10.4103/jiaomr.jiaomr_132_24

Background: Artificial intelligence (AI) technology is a trailblazer in obtaining critical information in oral observational studies involving forensic medicine. It holds immense potential in forensic odontology. Machine learning's involvement in our daily lives has doubled. The constructive upgraded mechanism of machine learning involved in exploring lip print patterns is a crucial perspective for future diagnostic studies. Objectives: To illuminate the significance and application of AI technology in forensic odontology, specifically lip print analysis. The cardinal objective is to identify the most effective algorithm for lip print analysis using AI. Methodology: The data for this study were collected by conducting a thorough search of articles published in reputable search engines between January 2010 and January 2024. The QUADAS-2 tool forms an impression of the risk of bias in the selected studies. Search engines such as PubMed, Web of Science, Scopus, and Cochrane were extensively searched for data collection. Results: All studies shortlisted for this review present promising results. Results showed that of all algorithms, VGG16 and VGG19 are better than other algorithms in terms of accuracy, precision, and recall. Conclusion: Our focus in this study is to determine whether AI is efficient in providing results for lip print pattern analysis and standardize an AI network algorithm that works best for it. Keywords: Artificial intelligence, cheiloscopy, forensic dentistry, machine learning, neural networks