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Artificial Intelligence Architecture For Evaluating Dental Images And Documentation For Dental Procedures

机译:用于评估牙科图像和牙科手术文件的人工智能架构

摘要

A dental procedure, one or more dental images, and documentation are processed to extract data and label and/or measure dental anatomy or pathologies using a first stage. The extracted data and labels are processed with a second stage to obtain predictions of deficiencies of the dental images and documentation. The predictions may include tasks to remedy the deficiencies, adjudication likelihood, instant payment amount, patient fee, and average time to payment. The first stage and second stage may each include a plurality of machine learning models. The second stage may include a plurality of machine learning models coupled to a concatenation layer. Inputs to the concatenation layer may include outputs of hidden layers of the plurality of machine learning models. The concatenation layer may take the extracted data and labels as inputs.
机译:处理牙科手术,一个或多个牙科图像,以及使用第一阶段提取数据和标签和/或测量牙齿解剖或病理学。 提取的数据和标签被处理为第二阶段,以获得对牙科图像和文档的缺陷的预测。 预测可以包括补救缺陷,判决可能性,即时支付金额,患者费用和平均支付时间的任务。 第一阶段和第二级可以各自包括多个机器学习模型。 第二级可以包括耦合到倾斜层的多个机器学习模型。 对级联层的输入可以包括多个机器学习模型的隐藏层的输出。 级联层可以将提取的数据和标签作为输入。

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