Patent ID: 11963790
Assignee: nan
Field: Medical technology (Instruments)
Classification: CPC A  G | IPC A  G

Claim 0:
1. A computer-implemented method, the computer-implemented method comprising:
receiving, by one or more computer processors, image data of a subject including at least a portion of a spine of the subject and a chronological age of the subject;
pre-processing, by one or more computer processors, the image data including at least the portion of a spine; and
determining, by one or more computer processors, an apparent age of one of the spine or the portion of the spine of the subject using a trained artificial intelligence deep learning algorithm at least by:
retrieving, by one or more computer processors, a plurality of spine image data of a plurality of subjects for training the artificial intelligence deep learning algorithm;
pre-processing, by one or more computer processors, the plurality of the spine image data of the plurality of subjects; and
training, by one or more computer processors, a machine learning algorithm using unsupervised deep learning wherein, the machine learning algorithm is a deep learning network wherein, a latent variable indicates an apparent spine age, the chronological age of the subject is a random variable derived from a distribution of a plurality of probabilities of the chronological age with respect to the apparent age and wherein the deep learning network learns the distribution of the plurality of probabilities chronological age with respect to the apparent age from the training using the plurality of image data.