Degidi Marco, Daprile Giuseppe, Battelli Filippo, Caselli Ernesto, Cisternino Luca, Greco Alessandro, Palumbo Daniele, Quasso Federico, Rossi Fabio, Tavelli Corrado, Zaccheroni Zoran
Private Practice, 40100 Bologna, Italy.
Private Practice, 47921 Rimini, Italy.
J Clin Med. 2025 Mar 16;14(6):2011. doi: 10.3390/jcm14062011.
A novel tool based on artificial intelligence (AIT) to evaluate immediate loading feasibility was recently introduced. The aim of this study is to evaluate the correspondence between the AIT prediction and the operator's evaluation in a large sample of implants. 11 operators were asked to classify the recorded insertion curves of all the implants placed during the period between September 2022 and August 2023 as suitable or non-suitable for immediate loading. Next, the same curves were analyzed by the AIT, which classified them as belonging to YES (suitable for immediate loading) or NO (non-suitable for immediate loading) class. 1320 dental implants were placed and a total of 21 different implant systems were used. According to the surgeons' evaluation, 999 curves were suitable and 321 were non-suitable for immediate loading; when evaluated by the AIT, 916 curves belonged to class YES, while 404 belonged to class NO. The resulted sensitivity was 90.49% (95% CI = 88.5% to 92.2), specificity was 96.26% (95% CI = 93.6% to 98.1%), PPV was 98.7% (95% CI = 97.7% to 99.3%), and NPV was 76.5% (95% CI = 72% to 80.5%). The AIT tested in the present clinical multicenter study demonstrated a high level of accuracy in the prediction of immediate loading feasibility.
最近推出了一种基于人工智能（AIT）的新型工具，用于评估即刻负重的可行性。本研究的目的是在大量种植体样本中评估AIT预测与操作者评估之间的一致性。11名操作者被要求将2022年9月至2023年8月期间植入的所有种植体的记录插入曲线分类为适合或不适合即刻负重。接下来，AIT对相同的曲线进行分析，并将它们分类为属于“是”（适合即刻负重）或“否”（不适合即刻负重）类别。共植入了1320颗牙种植体，使用了总共21种不同的种植系统。根据外科医生的评估，999条曲线适合即刻负重，321条不适合；当由AIT评估时，916条曲线属于“是”类别，而404条属于“否”类别。结果显示，灵敏度为90.49%（95%CI=88.5%至92.2），特异性为96.26%（95%CI=93.6%至98.1%），阳性预测值为98.7%（95%CI=97.7%至99.3%），阴性预测值为76.5%（95%CI=72%至80.5%）。在本临床多中心研究中测试的AIT在即刻负重可行性预测方面显示出高度的准确性。
