Assessing disease risks from user captured images
AssigneeAdvanced Health Intelligence Ltd.
InventorsVlado Bosanac, Amar El-Sallam
Life of this patent
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AssigneeAdvanced Health Intelligence Ltd.
InventorsVlado Bosanac, Amar El-Sallam
Estimating the term…
In some examples, an apparatus, such as a mobile phone can include an input module such as a touch screen, a camera, a processor, and computer readable medium. The camera captures one or more images of a person. The processor can use a single machine learning model to estimate the human body features of the person based on the captured images, and use the human body features to generate a disease risk assessment value associated with diabetes and cardiovascular disease risks. The human body features can include at least one or more of: 3D body shape, or body shape indicators; and one or more of: blood flow, blood pressure, heart rate, respiratory rate, heart rate variability, cardiac workload, irregular heartbeats, or stress index. The machine learning model can be trained over a set of training images.
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Dependencies are inferred from the claim text.