| CPC G06T 7/0012 (2013.01) [G06F 18/211 (2023.01); G06F 18/2148 (2023.01); G06F 18/24 (2023.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06T 3/00 (2013.01); G06T 5/73 (2024.01); G06T 7/11 (2017.01); G06V 10/25 (2022.01); G06V 10/764 (2022.01); G06V 20/69 (2022.01); G06T 2207/10048 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10101 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/10108 (2013.01); G06T 2207/10132 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30096 (2013.01); G06T 2207/30104 (2013.01)] | 9 Claims |

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1. A system for implementing artificial intelligence, the system comprising:
a processor configured to:
receive imaging data of Computed Tomography (CT), Magnetic resonance (MR), Ultrasound (US), or Positron Emission Tomography (PET) of a patient;
determine, based on the received imaging date, a first set of quantities of anatomic descriptors, plaque descriptors or both as spatial distributions of biological properties, wherein the spatial distribution of biological properties are based on one or more transformations, wherein the one or more transformations include unwrapping the received imaging data;
determine, based on the first set of quantities, a second set of quantities that identify, characterize or both vascular disease burden as a medical condition; and
output the identification or characterization of the vascular disease burden.
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