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公开(公告)号：US20210338387A1
公开(公告)日：2021-11-04
申请号：US17373178
申请日：2021-07-12
申请人： Overjet, Inc.
发明人： Wardah Inam , Robert Faiella , Shaju Puthussery , Samet Taspinar , Alexander Albert Joseph Jelicich , Deepak Ramaswamy
摘要： Disclosed are implementations that include a clinical data analysis method including obtaining dental data that includes input radiographic image data for at least one dental object, and identifying, by machine learning models, a first dental feature in the input radiographic image data for the at least one dental object, and at least one other feature in the dental object comprising at least partly a healthy dental structure. The method additionally includes computing at least one dimensioned property representative of physical dimensions of the first dental feature and the at least one other feature, deriving, based on the computed at least one dimensioned property, a ratio indicative of an extent of a dental clinical condition associated with the identified first dental feature, and determining a treatment plan based on a comparison of the at least one dimensioned property ratio to a respective threshold value.
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公开(公告)号：US11963846B2
公开(公告)日：2024-04-23
申请号：US17373178
申请日：2021-07-12
申请人： Overjet, Inc.
发明人： Wardah Inam , Robert Faiella , Shaju Puthussery , Samet Taspinar , Alexander Albert Joseph Jelicich , Deepak Ramaswamy
CPC分类号： A61C9/0053 , G06T7/0012 , G06T7/62 , G16H20/00 , G16H50/20 , G06T2207/20081 , G06T2207/30036 , G06T2207/30168
摘要： Disclosed are implementations that include a clinical data analysis method including obtaining dental data that includes input radiographic image data for at least one dental object, and identifying, by machine learning models, a first dental feature in the input radiographic image data for the at least one dental object, and at least one other feature in the dental object comprising at least partly a healthy dental structure. The method additionally includes computing at least one dimensioned property representative of physical dimensions of the first dental feature and the at least one other feature, deriving, based on the computed at least one dimensioned property, a ratio indicative of an extent of a dental clinical condition associated with the identified first dental feature, and determining a treatment plan based on a comparison of the at least one dimensioned property ratio to a respective threshold value.
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公开(公告)号：US20210343400A1
公开(公告)日：2021-11-04
申请号：US17373229
申请日：2021-07-12
申请人： Overjet, Inc.
发明人： Wardah Inam , Robert Faiella , Shaju Puthussery , Samet Taspinar , Alexander Albert Joseph Jelicich , Deepak Ramaswamy
摘要： Disclosed are implementations that include a method for dental data analysis including obtaining dental data for an individual, with the dental data being input radiographic image data of at least one dental object, and treatment data representative of one or more treatment procedures associated with the dental object, analyzing, by machine learning models, the input radiographic image data to identify one or more dental features associated with the dental object, and deriving, based on the treatment data and the identified one or more dental features, one or more integrity scores for the image data and the treatment data, with the one or more integrity scores being representative of potential integrity problems associated with the input radiographic image data and the treatment data. Deriving the integrity scores includes deriving a provider score representative of a potential integrity problem associated with a dental-care provider submitting the treatment data.
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公开(公告)号：US12106848B2
公开(公告)日：2024-10-01
申请号：US17373229
申请日：2021-07-12
申请人： Overjet, Inc.
发明人： Wardah Inam , Robert Faiella , Shaju Puthussery , Samet Taspinar , Alexander Albert Joseph Jelicich , Deepak Ramaswamy
CPC分类号： G16H40/20 , G06T7/0012 , G16H50/20 , G06T2207/20081 , G06T2207/20084 , G06T2207/30036 , G06T2207/30168
摘要： Disclosed are implementations that include a method for dental data analysis including obtaining dental data for an individual, with the dental data being input radiographic image data of at least one dental object, and treatment data representative of one or more treatment procedures associated with the dental object, analyzing, by machine learning models, the input radiographic image data to identify one or more dental features associated with the dental object, and deriving, based on the treatment data and the identified one or more dental features, one or more integrity scores for the image data and the treatment data, with the one or more integrity scores being representative of potential integrity problems associated with the input radiographic image data and the treatment data. Deriving the integrity scores includes deriving a provider score representative of a potential integrity problem associated with a dental-care provider submitting the treatment data.
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