Systems and methods for individualized estimation of baseline diagnostic maps and profiles

An apparatus, comprising:

• a memory configured to store instructions;
• and
• a processor coupled to the memory, wherein the processor is configured to execute the instructions to:
• measure a diagnostic characteristic of a patient's eye based on optical coherence tomography (OCT) or OCT angiography (OCTA);
• calculate a disease-free individualized baseline of the diagnostic characteristic of the eye based on an anatomic feature of the eye;
• calculate a difference between the disease-free individualized baseline of the diagnostic characteristic and the measured diagnostic characteristic;
• and
• determine whether the difference is consistent with a disease of the eye.

A computer-implemented method, comprising:

• training a model with a dataset from a population of healthy eyes, wherein the model comprises an encoder, followed by a latent mapper, followed by a decoder;
• measuring an Optical Coherence Tomography (OCT) or OCT angiography (OCTA) characteristic of an individual patient's eye;
• calculating, from the trained model, an individualized baseline of the OCT or OCTA characteristic of the individual patient's eye based on an anatomic feature of the eye;
• calculating a difference between the individualized baseline of the OCT or OCTA characteristic and the measured OCT or OCTA characteristic of the individual patient's eye;
• and
• determining whether the difference is above a threshold consistent with a disease of the individual patient's eye.