Comparative study of artificial intelligence-based cephalometric landmark detection software programs (notice n° 193977)
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| fixed length control field | 02772cam a2200313 4500500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250112045258.0 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | fre |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | dc |
| 100 10 - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Moreno, Matthieu |
| Relator term | author |
| 245 00 - TITLE STATEMENT | |
| Title | Comparative study of artificial intelligence-based cephalometric landmark detection software programs |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Date of publication, distribution, etc. | 2023.<br/> |
| 500 ## - GENERAL NOTE | |
| General note | 6 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Introduction : As well as being a rather tedious task, manual cephalometric analyses are prone to reproducibility issues (tracing and measurement errors), making the prospect of fully automated digital tracing techniques highly attractive. The objectives of the study were as follows: to evaluate the positioning (accuracy and precision) of common cephalometric landmarks by two software programs offering artificial intelligence (AI) detection (WebCeph™ and DentaliQ®) compared to a manual reference; and then to the compare the two software programs. Materials and method: Sixty-eight lateral cephalograms were selected for this study. Twenty-two landmarks were manually annotated, and then the discrepancies between this gold standard and the points detected by each AI software were measured, along with the success detection rate (SDR). Statistical analyses were carried out using “confidence ellipses” and two-tailed t-test (p-value of 5%). Results : In terms of precision, the average SDRs within 2 mm for WebCeph™ and DentaliQ® were 57.2% and 66.5%, respectively. In terms of accuracy, the best results were obtained for S, Na, and the incisal edges. Significant random errors were found for the points Po, So, ENA, ENP, Ba, and Go. Other points, such as Pog and B, exhibited considerable vertical dispersion. Overall, DentaliQ® had a slight advantage, although the difference was not significant. Discussion: The measured detection accuracy appears insufficient for unsupervised use. Indeed, the results are promising for the detection of certain points, and AI could help clinicians save time, but the software should never have the final say, and the ability to reposition points must remain possible. Conclusion: This technology is advancing rapidly, and effective clinical use will probably be possible in the near future. |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | orthodontics |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | radiology |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | cephalometry |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | landmark |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | artificial intelligence |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | software |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | orthodontics |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | radiology |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | cephalometry |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | landmark |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | artificial intelligence |
| 690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) | |
| Topical term or geographic name as entry element | software |
| 700 10 - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Gebeile-Chauty, Sarah |
| Relator term | author |
| 786 0# - DATA SOURCE ENTRY | |
| Note | L'Orthodontie Française | o 11 | 1 | 2023-09-26 | p. 41-61 | 1966-5202 |
| 856 41 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://shs.cairn.info/journal-l-orthodontie-francaise-2022-1-page-41?lang=en">https://shs.cairn.info/journal-l-orthodontie-francaise-2022-1-page-41?lang=en</a> |
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