Applications of artificial intelligence in the utilisation of imaging modalities in dentistry: A systematic review and meta-analysis of in-vitro studies

Alam, Mohammad Khursheed; Alftaikhah, Sultan Abdulkareem Ali; Issrani, Rakhi; Ronsivalle, Vincenzo; Lo Giudice, Antonino; Cicciù, Marco; Minervini, Giuseppe

doi:10.1016/j.heliyon.2024.e24221

Cited by 5 publications

(1 citation statement)

References 69 publications

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“…Despite the plethora of available software, CBCTs, and other devices used in today's dental, surgical, and orthodontic practices, there are still many underestimated and not fully evaluated aspects. One of these is the comparison between AI-derived and computer-enhanced automatic cephalometric analysis versus the classic 2D manual approach [14][15][16][17][18]. There seems to be a growing trend towards the integration of new technologies and advancements in both medicine and dentistry.…”

Section: Introductionmentioning

confidence: 99%

Discrepancies in Cephalometric Analysis Results between Orthodontists and Radiologists and Artificial Intelligence: A Systematic Review

Smołka,

Nelke,

Struzik

et al. 2024

Applied Sciences

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Cephalometry is a crucial examination in orthodontic diagnostics and during the planning of orthognathic surgical procedures. The objective of this article was to compare cephalometric measurements conducted by different specialists and systems tailored for such measurements, as well as to evaluate the capabilities of artificial intelligence in this field. In January 2024, we conducted electronic searches in the PubMed, Scopus, and Web of Science (WoS) databases. In the Scopus database, the results were refined to titles, abstracts, and keywords, while in PubMed, they were narrowed down to titles and abstracts. In WoS, the results were refined only to abstracts. The search criteria were based on the following terms: (cephalometric) AND (analysis) AND (discrepancy) AND ((orthodontic) OR (radiologist)). A total of 263 articles were identified, of which 17 met the criteria and were incorporated into the review. The review allowed us to conclude that the accuracy of cephalometric measurements relied on the expertise of the operator—specialists with more experience exhibited greater precision compared to novices or individuals not specialized in orthodontics. Cephalometric measurement computer programs yielded outcomes that streamlined work processes, minimized human errors, and enhanced precision. A novel aspect involved the application of artificial intelligence, which also demonstrated high precision and a substantial reduction in working time, although its utilization still necessitates further enhancements. Further research was required to address these limitations and to optimize the incorporation of technology in orthodontic and orthognathic surgery practices.

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Section: Introductionmentioning

confidence: 99%

Discrepancies in Cephalometric Analysis Results between Orthodontists and Radiologists and Artificial Intelligence: A Systematic Review

Smołka,

Nelke,

Struzik

et al. 2024

Applied Sciences

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Towards dental diagnostic systems: Synergizing wavelet transform with generative adversarial networks for enhanced image data fusion

Al-Haddad,

Al-Haddad

et al. 2024

Computers in Biology and Medicine

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Evaluation of Attitudes and Perceptions in Students About the Use of Artificial Intelligence in Craniomaxillofacial Surgery

Guler,

Yalcin,

Gulsun

2024

Journal of Craniofacial Surgery

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Developments in technology have created great changes in the field of medicine and dentistry. Artificial intelligence technology is one of the most important innovations that caused this change. This study aimed to evaluate the opinions of dentistry students regarding the use of artificial intelligence in dentistry and craniomaxillofacial surgery. Two hundred ninety-six dentistry students between the ages of 19 and 30 participated in the study. Participants submitted the survey by e-mail examining the student's opinions and attitudes regarding the use of artificial intelligence in dentistry and craniomaxillofacial surgery. Respondents' anonymity was ensured. 47.30% (n: 140) of the students participating in the study are fourth-year students, and 52.70% (n: 156) are fifth-year students. While 48.98% (n: 145) of the participants have knowledge about the uses of artificial intelligence in daily life, 28.37% (n: 84) of the students have knowledge about robotic surgery. While ~74% of the participants think that artificial intelligence will improve the field of dentistry and craniomaxillofacial surgery, it has been observed that they are not worried about these applications replacing dentists in the future. It was determined that there was no statistically significant difference between fourth-year and fifth-year students in their knowledge levels about the areas of use of artificial intelligence (P=0.548). Students’ opinions show that 74% agree that artificial intelligence will lead to major advances in the field of dentistry and craniomaxillofacial surgery. This shows the relationship between dentists and artificial intelligence points to a bright future.

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Applications of artificial intelligence in the utilisation of imaging modalities in dentistry: A systematic review and meta-analysis of in-vitro studies

Cited by 5 publications

References 69 publications

Discrepancies in Cephalometric Analysis Results between Orthodontists and Radiologists and Artificial Intelligence: A Systematic Review

Discrepancies in Cephalometric Analysis Results between Orthodontists and Radiologists and Artificial Intelligence: A Systematic Review

Towards dental diagnostic systems: Synergizing wavelet transform with generative adversarial networks for enhanced image data fusion

Evaluation of Attitudes and Perceptions in Students About the Use of Artificial Intelligence in Craniomaxillofacial Surgery

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