US 2026/0311326 A1 · MACHINE LEARNING PERSONALIZED RETINAL DISEASE CARE

Abstract

Machine learning techniques for providing personalized retinal disease care to a patient are presented. The techniques include: obtaining patient retinal image data and patient clinical data; providing the patient retinal image data and the patient's clinical data to a machine learning system that has been trained with training data that includes training input data and corresponding training output data, where the training data is representative of individuals at times they have not experienced a transition from dry age-related macular degeneration to wet age-related macular degeneration in either eye, where the training input data includes training retinal image data and training clinical data, and where the training output data includes training prognosis data and/or training treatment data; obtaining from the machine learning system patient output data that includes patient prognosis data and/or patient treatment data; and providing personalized retinal disease care to the patient based on the patient output data.

Claims22

Dependent claims

A machine learning method for providing personalized retinal disease care to a patient, the method comprising:

obtaining patient retinal image data and patient clinical data;
providing an input to a machine learning system, the input comprising the patient retinal image data and the patient's clinical data, wherein the machine learning has been trained with training data comprising training input data and corresponding training output data, wherein the training data comprises data representative of individuals at times for which the individuals have not experienced a transition from dry age-related macular degeneration to wet age-related macular degeneration in either eye, wherein the training input data comprises training retinal image data and training clinical data, and wherein the training output data comprises at least one of training prognosis data or training treatment data;
obtaining patient output data from the machine learning system, wherein the patient output data comprises at least one of patient prognosis data or patient treatment data;
and
providing personalized retinal disease care to the patient based on the patient output data.

2 more elements

A system for providing personalized retinal disease care to a patient, the system comprising:

a non-transitory computer readable medium comprising instructions;
and at least one electronic processor that executes the instructions to perform operations comprising:
obtaining patient retinal image data and patient clinical data;
providing an input to a machine learning system, the input comprising the patient retinal image data and the patient's clinical data, wherein the machine learning has been trained with training data comprising training input data and corresponding training output data, wherein the training data comprises data representative of individuals at times for which the individuals have not experienced a transition from dry age-related macular degeneration to wet age-related macular degeneration in either eye, wherein the training input data comprises training retinal image data and training clinical data, and wherein the training output data comprises at least one of training prognosis data or training treatment data;
and
obtaining patient output data from the machine learning system, wherein the patient output data comprises at least one of patient prognosis data or patient treatment data, and wherein personalized retinal disease care is provided to the patient based on the patient output data.

3 more elements

Dependencies are inferred from the claim text.

Machine learning personalized retinal disease care

Life of this patent

Machine learning personalized retinal disease care

Life of this patent

Abstract

Claims22