Title |
AI assisted surgical guides for dental implant placement
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Authors |
Saurabh Gupta1, Dinesh Yadav2,*, Anubhuti Anubhuti3, Lubna Tabassum Siddiqui4, Deepa Rudrappa5, Abdul KalamAzad6 & Alkananda Sahoo7
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Affiliation |
1Consultant, Periodontist and Implantologist, Jammu, Jammu and Kashmir, India; 2Department of Oral and Maxillofacial Surgery, Ekalavya Dental College & Hospital, Rajasthan, India; 3Consultant, Prosthodontist, Dental Smile, Chandigarh, Haryana, India; 4Department of Periodontics, Swargiya Dadasaheb Kalmegh Smruti Dental College and Hospital, Wanadongri, Hingna, Nagpur, Maharashtra, India; 5Department of Periodontics and Implantology, SJM Dental College and Hospital, Chitradurga-577501, Karnataka, India; 6Department of Oral and Maxillofacial Surgery, College of Dentistry, Qassim University, Saudi Arabia; 7Department of Oral and Maxillofacial Pathology, Kalinga Institute of Dental Sciences, KIIT Deemed to be University, Patia, Bhubaneswar-751024, Odisha, India; *Corresponding author
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Saurabh Gupta - E - mail: saurabhsirji@gmail.com
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Article Type |
Research Article
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Date |
Received May 1, 2025; Revised May 31, 2025; Accepted May 31, 2025, Published May 31, 2025
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Abstract |
Dental implant placement requires high precision and advancements in technology, such as AI-assisted surgical guides. Therefore, it is of interest to compare AI-assisted surgical guides, conventional guides and freehand techniques in dental implant placement. Hence, 75 artificial jaw models were divided into three groups of 25 each. The implants were placed using standardized methods. The AI guides were created using machine learning software (PlanmecaRomexis®, India). Statistical analysis (SPSS v25) used Shapiro-Wilk, Levene’s test, ANOVA with Tukey, p<0.05, and ICC for reliability.AI-assisted surgical guides offer superior accuracy, stability and implant success rates. |
Keywords |
AI-assisted surgical guides, dental implants, implant stability, accuracy, resonance frequency analysis, insertion torque, depth deviation, angular deviation, implant success rate.
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Citation |
Gupta et al. Bioinformation 21(5): 1002-1006 (2025)
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Edited by |
P Babaji
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ISSN |
0973-2063
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Publisher |
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License |
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
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