AI-assisted treatment planning for dental implant placement: Clinical vs AI-generated plans

Background: Dental implant placement is a critical procedure in modern dentistry, requiring precise treatment planning to ensure successful outcomes. Traditionally, treatment planning has relied on the expertise of clinicians, but recent advancements in artificial intelligence (AI) have opened up th...

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Main Authors: Sukanta K Satapathy, Aishwarya Kunam, Rashme Rashme, Pooja Priyadarshini Sudarsanam, Anuj Gupta, H S Kiran Kumar
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2024-01-01
Series:Journal of Pharmacy and Bioallied Sciences
Subjects:
Online Access:http://www.jpbsonline.org/article.asp?issn=0975-7406;year=2024;volume=16;issue=5;spage=939;epage=941;aulast=Satapathy
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author Sukanta K Satapathy
Aishwarya Kunam
Rashme Rashme
Pooja Priyadarshini Sudarsanam
Anuj Gupta
H S Kiran Kumar
author_facet Sukanta K Satapathy
Aishwarya Kunam
Rashme Rashme
Pooja Priyadarshini Sudarsanam
Anuj Gupta
H S Kiran Kumar
author_sort Sukanta K Satapathy
collection DOAJ
description Background: Dental implant placement is a critical procedure in modern dentistry, requiring precise treatment planning to ensure successful outcomes. Traditionally, treatment planning has relied on the expertise of clinicians, but recent advancements in artificial intelligence (AI) have opened up the possibility of AI-assisted treatment planning. Materials and Methods: Twenty patients requiring dental implant placement were included in this comparative study. For each patient, a clinical treatment plan was created by an experienced dentist, while an AI algorithm, trained on a dataset of implant placement cases, generated an alternative plan. Various parameters, including implant position, angulation, and depth, were compared between the two plans. Surgical templates were fabricated based on both plans to guide implant placement accurately. Results: The results of this study indicate that AI-generated treatment plans closely align with clinical plans in terms of implant positioning, angulation, and depth. Mean discrepancies of less than 1 mm and 2 degrees were observed for implant position and angulation, respectively, between the two planning methods. The AI-generated plans also showed a reduction in planning time, averaging 10 min compared to the clinical planning, which averaged 30 min per case. Additionally, the surgical templates based on AI-generated plans exhibited similar accuracy in implant placement as those based on clinical plans. Conclusion: AI-assisted treatment planning for dental implant placement demonstrates promising results in terms of accuracy and efficiency.
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spelling doaj.art-0575dbadecfc4442a8810bc8e9213e452024-04-04T16:37:41ZengWolters Kluwer Medknow PublicationsJournal of Pharmacy and Bioallied Sciences0975-74062024-01-0116593994110.4103/jpbs.jpbs_1121_23AI-assisted treatment planning for dental implant placement: Clinical vs AI-generated plansSukanta K SatapathyAishwarya KunamRashme RashmePooja Priyadarshini SudarsanamAnuj GuptaH S Kiran KumarBackground: Dental implant placement is a critical procedure in modern dentistry, requiring precise treatment planning to ensure successful outcomes. Traditionally, treatment planning has relied on the expertise of clinicians, but recent advancements in artificial intelligence (AI) have opened up the possibility of AI-assisted treatment planning. Materials and Methods: Twenty patients requiring dental implant placement were included in this comparative study. For each patient, a clinical treatment plan was created by an experienced dentist, while an AI algorithm, trained on a dataset of implant placement cases, generated an alternative plan. Various parameters, including implant position, angulation, and depth, were compared between the two plans. Surgical templates were fabricated based on both plans to guide implant placement accurately. Results: The results of this study indicate that AI-generated treatment plans closely align with clinical plans in terms of implant positioning, angulation, and depth. Mean discrepancies of less than 1 mm and 2 degrees were observed for implant position and angulation, respectively, between the two planning methods. The AI-generated plans also showed a reduction in planning time, averaging 10 min compared to the clinical planning, which averaged 30 min per case. Additionally, the surgical templates based on AI-generated plans exhibited similar accuracy in implant placement as those based on clinical plans. Conclusion: AI-assisted treatment planning for dental implant placement demonstrates promising results in terms of accuracy and efficiency.http://www.jpbsonline.org/article.asp?issn=0975-7406;year=2024;volume=16;issue=5;spage=939;epage=941;aulast=Satapathyaccuracyai-assisted planningclinical expertisedental implant placementdentistryefficiencysurgical templatestreatment planning
spellingShingle Sukanta K Satapathy
Aishwarya Kunam
Rashme Rashme
Pooja Priyadarshini Sudarsanam
Anuj Gupta
H S Kiran Kumar
AI-assisted treatment planning for dental implant placement: Clinical vs AI-generated plans
Journal of Pharmacy and Bioallied Sciences
accuracy
ai-assisted planning
clinical expertise
dental implant placement
dentistry
efficiency
surgical templates
treatment planning
title AI-assisted treatment planning for dental implant placement: Clinical vs AI-generated plans
title_full AI-assisted treatment planning for dental implant placement: Clinical vs AI-generated plans
title_fullStr AI-assisted treatment planning for dental implant placement: Clinical vs AI-generated plans
title_full_unstemmed AI-assisted treatment planning for dental implant placement: Clinical vs AI-generated plans
title_short AI-assisted treatment planning for dental implant placement: Clinical vs AI-generated plans
title_sort ai assisted treatment planning for dental implant placement clinical vs ai generated plans
topic accuracy
ai-assisted planning
clinical expertise
dental implant placement
dentistry
efficiency
surgical templates
treatment planning
url http://www.jpbsonline.org/article.asp?issn=0975-7406;year=2024;volume=16;issue=5;spage=939;epage=941;aulast=Satapathy
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