Carme Riera, Luiz Gonzaga, Karina Amorim, Ghida Lawand, William Martin
{"title":"人工智能辅助工作流程优化即刻植入物钻孔方案与SocketFit静态手术指南:一个案例报告。","authors":"Carme Riera, Luiz Gonzaga, Karina Amorim, Ghida Lawand, William Martin","doi":"10.11607/prd.7654","DOIUrl":null,"url":null,"abstract":"<p><p>The incorporation of artificial intelligence (AI) into digital technology has profoundly enhanced the field of dental implantology in all phases of treatment from diagnosis through planning, surgery and restoration. With specific attention to planning and surgery, static computer-aided implant surgery (sCAIS) has become a widely accepted workflow by streamlining implant placement and restoration. However, during the placement of immediate implants, users of sCAIS can often experience specific limitations due to the anatomical complexity of post-extraction sockets, including their morphology, angulation, and the heterogeneity of surrounding bone density in relation to the planned implant position. These clinical factors can adversely influence the trajectory and stability of the surgical drill leading to its deflection resulting in deviations from the planned implant path. Such inaccuracies can lead to suboptimal implant positioning, compromising primary stability, esthetic outcomes, and ultimately, long-term clinical success. This article introduces an AI-assisted modification to the traditional sCAIS guide design workflow by introducing a pilot drill surgical guide (SocketFit Guide (SFG)) to minimize these risks when working with immediate implants. The design of the SFG incorporates the use of AI-driven virtual segmentation of anatomical structures during the digital planning phase. Through virtual tooth extraction, the AI algorithm accurately delineates the alveolar socket boundaries, enabling the design of the SFG with an extension and more apically positioned guide sleeve. Moving the pilot drill closer in proximity to the planned osteotomy site allows for more control over the drill trajectory minimizing deflection.</p>","PeriodicalId":94231,"journal":{"name":"The International journal of periodontics & restorative dentistry","volume":"0 0","pages":"1-25"},"PeriodicalIF":1.1000,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"AI-assisted Workflow to Optimize Immediate Implant Drilling Protocol with a SocketFit Static Surgical Guide: A Case Report.\",\"authors\":\"Carme Riera, Luiz Gonzaga, Karina Amorim, Ghida Lawand, William Martin\",\"doi\":\"10.11607/prd.7654\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The incorporation of artificial intelligence (AI) into digital technology has profoundly enhanced the field of dental implantology in all phases of treatment from diagnosis through planning, surgery and restoration. With specific attention to planning and surgery, static computer-aided implant surgery (sCAIS) has become a widely accepted workflow by streamlining implant placement and restoration. However, during the placement of immediate implants, users of sCAIS can often experience specific limitations due to the anatomical complexity of post-extraction sockets, including their morphology, angulation, and the heterogeneity of surrounding bone density in relation to the planned implant position. These clinical factors can adversely influence the trajectory and stability of the surgical drill leading to its deflection resulting in deviations from the planned implant path. Such inaccuracies can lead to suboptimal implant positioning, compromising primary stability, esthetic outcomes, and ultimately, long-term clinical success. This article introduces an AI-assisted modification to the traditional sCAIS guide design workflow by introducing a pilot drill surgical guide (SocketFit Guide (SFG)) to minimize these risks when working with immediate implants. The design of the SFG incorporates the use of AI-driven virtual segmentation of anatomical structures during the digital planning phase. Through virtual tooth extraction, the AI algorithm accurately delineates the alveolar socket boundaries, enabling the design of the SFG with an extension and more apically positioned guide sleeve. Moving the pilot drill closer in proximity to the planned osteotomy site allows for more control over the drill trajectory minimizing deflection.</p>\",\"PeriodicalId\":94231,\"journal\":{\"name\":\"The International journal of periodontics & restorative dentistry\",\"volume\":\"0 0\",\"pages\":\"1-25\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2025-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The International journal of periodontics & restorative dentistry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11607/prd.7654\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The International journal of periodontics & restorative dentistry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11607/prd.7654","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
AI-assisted Workflow to Optimize Immediate Implant Drilling Protocol with a SocketFit Static Surgical Guide: A Case Report.
The incorporation of artificial intelligence (AI) into digital technology has profoundly enhanced the field of dental implantology in all phases of treatment from diagnosis through planning, surgery and restoration. With specific attention to planning and surgery, static computer-aided implant surgery (sCAIS) has become a widely accepted workflow by streamlining implant placement and restoration. However, during the placement of immediate implants, users of sCAIS can often experience specific limitations due to the anatomical complexity of post-extraction sockets, including their morphology, angulation, and the heterogeneity of surrounding bone density in relation to the planned implant position. These clinical factors can adversely influence the trajectory and stability of the surgical drill leading to its deflection resulting in deviations from the planned implant path. Such inaccuracies can lead to suboptimal implant positioning, compromising primary stability, esthetic outcomes, and ultimately, long-term clinical success. This article introduces an AI-assisted modification to the traditional sCAIS guide design workflow by introducing a pilot drill surgical guide (SocketFit Guide (SFG)) to minimize these risks when working with immediate implants. The design of the SFG incorporates the use of AI-driven virtual segmentation of anatomical structures during the digital planning phase. Through virtual tooth extraction, the AI algorithm accurately delineates the alveolar socket boundaries, enabling the design of the SFG with an extension and more apically positioned guide sleeve. Moving the pilot drill closer in proximity to the planned osteotomy site allows for more control over the drill trajectory minimizing deflection.