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

Claim 16:
17. A computer system comprising:
one or more computer processors;
one or more computer readable storage media;
program instructions stored on the one or more computer readable storage media for execution by at least one of the one or more processors, the program instructions comprising instructions to perform:
receiving 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 the image data including at least the portion of a spine; and
determining 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.