A method of training a deep neural network in association with at least one processor comprised in a system (301,401), wherein the at least one processor is configured to: - obtain a plurality of training dental computed tomography scans (111,531) which reflect a moment before respective successful orthodontic treatments, - identify individual teeth and jaw bone in each of said training dental computed tomography scans (111,531), and - train said deep neural network with training input data obtained from said plurality of training dental computed tomography scans (111,531) and training target data per training dental computed tomography scan to determine a desired final position per tooth from patient input data obtained from a patient dental computed tomography scan, wherein training input data obtained from a training dental computed tomography scan represents all teeth and the entire alveolar process and identifies said individual teeth and said jaw bone and said patient input data also represents all teeth and the entire alveolar process and identifies said individual teeth and said jaw bone, wherein said training input data and said patient input data comprise an image data set or a 3D data set along with information delineating said individual teeth and said jaw, said image data set representing an entire computed tomography scan, or multiple 3D data sets, said multiple 3D data sets comprising a 3D data set per tooth and a 3D data set for said jaw bone, and wherein said training target data comprises an indicator indicating an achieved transformation per tooth for one or more of said plurality of training dental computed tomography scans, said transformation comprising a translation and/or a rotation per tooth, and/or said training target data comprises data obtained from one or more further training dental computed tomography scans which reflect a moment after a successful orthodontic treatment, each of said one or more further training dental computed tomography scans being associated with a training dental computed tomography scan of said plurality of training dental computed tomography scans. - obtain a plurality of training dental computed tomography scans (111,531) which reflect a moment before respective successful orthodontic treatments, - identify individual teeth and jaw bone in each of said training dental computed tomography scans (111,531), and - train said deep neural network with training input data obtained from said plurality of training dental computed tomography scans (111,531) and training target data per training dental computed tomography scan to determine a desired final position per tooth from patient input data obtained from a patient dental computed tomography scan, wherein training input data obtained from a training dental computed tomography scan represents all teeth and the entire alveolar process and identifies said individual teeth and said jaw bone and said patient input data also represents all teeth and the entire alveolar process and identifies said individual teeth and said jaw bone, wherein said training input data and said patient input data comprise an image data set or a 3D data set along with information delineating said individual teeth and said jaw, said image data set representing an entire computed tomography scan, or multiple 3D data sets, said multiple 3D data sets comprising a 3D data set per tooth and a 3D data set for said jaw bone, and wherein said training target data comprises an indicator indicating an achieved transformation per tooth for one or more of said plurality of training dental computed tomography scans, said transformation comprising a translation and/or a rotation per tooth, and/or said training target data comprises data obtained from one or more further training dental computed tomography scans which reflect a moment after a successful orthodontic treatment, each of said one or more further training dental computed tomography scans being associated with a training dental computed tomography scan of said plurality of training dental computed tomography scans.