Satapathy Sukanta K, Kunam Aishwarya, Rashme Rashme, Sudarsanam Pooja Priyadarshini, Gupta Anuj, Kumar H S Kiran
Associate Professor, Department of Dentistry, Fakirmohan Medical College, Balasore, Odisha, India.
Masters in Health Information at Indiana University, Bangalore, Karnataka, India.
J Pharm Bioallied Sci. 2024 Feb;16(Suppl 1):S939-S941. doi: 10.4103/jpbs.jpbs_1121_23. Epub 2024 Feb 29.
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.
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.
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.
AI-assisted treatment planning for dental implant placement demonstrates promising results in terms of accuracy and efficiency.
牙种植体植入是现代牙科中的一项关键手术,需要精确的治疗计划以确保取得成功的结果。传统上,治疗计划依赖于临床医生的专业知识,但人工智能(AI)的最新进展开启了人工智能辅助治疗计划的可能性。
本比较研究纳入了20例需要植入牙种植体的患者。对于每位患者,由一位经验丰富的牙医制定临床治疗计划,同时,一种基于种植体植入病例数据集进行训练的人工智能算法生成另一种计划。比较了两种计划之间的各种参数,包括种植体位置、角度和深度。根据两种计划制作手术模板,以准确指导种植体植入。
本研究结果表明,人工智能生成的治疗计划在种植体定位、角度和深度方面与临床计划密切相符。两种规划方法之间,种植体位置和角度的平均差异分别小于1毫米和2度。人工智能生成的计划还显示规划时间有所减少,平均为10分钟,而临床规划平均每例为30分钟。此外,基于人工智能生成计划的手术模板在种植体植入方面表现出与基于临床计划的手术模板相似的准确性。
牙种植体植入的人工智能辅助治疗计划在准确性和效率方面显示出有前景的结果。