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: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer Medknow Publications
2025-04-01
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| 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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| _version_ | 1849423179672453120 |
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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. |
| format | Article |
| id | doaj-art-7fb3a8eeb0044c17bacaeb3efaac5812 |
| institution | Kabale University |
| issn | 0972-1363 0975-1572 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| 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 |
| work_keys_str_mv | AT balajeevenkatesh roleofartificialintelligenceinvalidatingpalatalrugaepatternsforindividualidentificationasystematicreview AT aharipriya roleofartificialintelligenceinvalidatingpalatalrugaepatternsforindividualidentificationasystematicreview |