Role of Artificial Intelligence in Validating Palatal Rugae Patterns for Individual Identification: A Systematic Review

Background: Artificial intelligence (AI) in forensic odontology enhances the accuracy and speed of individual identification through automated dental record comparison. Objectives: To evaluate AI’s accuracy in identifying individuals using palatal rugae patterns to determine the reliability of AI so...

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Main Authors: Balajee Venkatesh, A Haripriya
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2025-04-01
Series:Journal of Indian Academy of Oral Medicine and Radiology
Subjects:
Online Access:https://journals.lww.com/10.4103/jiaomr.jiaomr_271_24
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author Balajee Venkatesh
A Haripriya
author_facet Balajee Venkatesh
A Haripriya
author_sort Balajee Venkatesh
collection DOAJ
description Background: Artificial intelligence (AI) in forensic odontology enhances the accuracy and speed of individual identification through automated dental record comparison. Objectives: To evaluate AI’s accuracy in identifying individuals using palatal rugae patterns to determine the reliability of AI software when integrated with different software platforms and its implications in forensics. Methods: A comprehensive search of PUBMED, SCOPUS, and SCIENCE DIRECT was conducted, targeting studies on AI use in forensic odontology, specifically for palatal rugoscopy. Data extracted included study methods, AI accuracy, and outcomes, with the QUADAS-2 tool assessing bias. Evidence levels were evaluated using Oxford Centre for Evidence Based Medicine 2011 guidelines. Results: Twelve studies met the inclusion criteria, all demonstrating AI’s effectiveness in identifying individuals through palatal rugae patterns. Digital models were more accurate than digital photographs. A range of algorithms was applied, but 33% of studies did not specify which one. GOM Inspect was the most commonly used software. The risk of bias assessment indicated medium risk Formatted: Justified in most studies. Conclusion: This review confirms AI’s potential in individual identification using palatal rugae patterns, with digital models and GOM Inspect software being preferred. Despite promising results, further research is needed to address bias and ensure consistent reliability.
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series Journal of Indian Academy of Oral Medicine and Radiology
spelling doaj-art-7fb3a8eeb0044c17bacaeb3efaac58122025-08-20T03:30:44ZengWolters Kluwer Medknow PublicationsJournal of Indian Academy of Oral Medicine and Radiology0972-13630975-15722025-04-0137214314810.4103/jiaomr.jiaomr_271_24Role of Artificial Intelligence in Validating Palatal Rugae Patterns for Individual Identification: A Systematic ReviewBalajee VenkateshA HaripriyaBackground: Artificial intelligence (AI) in forensic odontology enhances the accuracy and speed of individual identification through automated dental record comparison. Objectives: To evaluate AI’s accuracy in identifying individuals using palatal rugae patterns to determine the reliability of AI software when integrated with different software platforms and its implications in forensics. Methods: A comprehensive search of PUBMED, SCOPUS, and SCIENCE DIRECT was conducted, targeting studies on AI use in forensic odontology, specifically for palatal rugoscopy. Data extracted included study methods, AI accuracy, and outcomes, with the QUADAS-2 tool assessing bias. Evidence levels were evaluated using Oxford Centre for Evidence Based Medicine 2011 guidelines. Results: Twelve studies met the inclusion criteria, all demonstrating AI’s effectiveness in identifying individuals through palatal rugae patterns. Digital models were more accurate than digital photographs. A range of algorithms was applied, but 33% of studies did not specify which one. GOM Inspect was the most commonly used software. The risk of bias assessment indicated medium risk Formatted: Justified in most studies. Conclusion: This review confirms AI’s potential in individual identification using palatal rugae patterns, with digital models and GOM Inspect software being preferred. Despite promising results, further research is needed to address bias and ensure consistent reliability.https://journals.lww.com/10.4103/jiaomr.jiaomr_271_24artificial intelligenceforensic sciencesforensicpalatesciencesoftware
spellingShingle Balajee Venkatesh
A Haripriya
Role of Artificial Intelligence in Validating Palatal Rugae Patterns for Individual Identification: A Systematic Review
Journal of Indian Academy of Oral Medicine and Radiology
artificial intelligence
forensic sciences
forensic
palate
science
software
title Role of Artificial Intelligence in Validating Palatal Rugae Patterns for Individual Identification: A Systematic Review
title_full Role of Artificial Intelligence in Validating Palatal Rugae Patterns for Individual Identification: A Systematic Review
title_fullStr Role of Artificial Intelligence in Validating Palatal Rugae Patterns for Individual Identification: A Systematic Review
title_full_unstemmed Role of Artificial Intelligence in Validating Palatal Rugae Patterns for Individual Identification: A Systematic Review
title_short Role of Artificial Intelligence in Validating Palatal Rugae Patterns for Individual Identification: A Systematic Review
title_sort role of artificial intelligence in validating palatal rugae patterns for individual identification a systematic review
topic artificial intelligence
forensic sciences
forensic
palate
science
software
url https://journals.lww.com/10.4103/jiaomr.jiaomr_271_24
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