US 12,112,852 B2
CAD device and method for analysing medical images
Carlos Federico Arteta Montilva, Oxford (GB); Nicholas Dowson, Oxford (GB); Timor Kadir, Oxford (GB); and Jerome Declerck, Oxford (GB)
Assigned to Optellum Limited, Oxford (GB)
Filed by Optellum Limited, Oxford (GB)
Filed on Nov. 11, 2020, as Appl. No. 17/094,934.
Prior Publication US 2022/0148727 A1, May 12, 2022
Int. Cl. G16H 50/20 (2018.01); G06N 3/04 (2023.01); G06T 7/00 (2017.01); G16H 10/60 (2018.01); G16H 30/40 (2018.01); G16H 50/30 (2018.01)
CPC G16H 50/20 (2018.01) [G06N 3/04 (2013.01); G06T 7/0012 (2013.01); G16H 10/60 (2018.01); G16H 30/40 (2018.01); G16H 50/30 (2018.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30061 (2013.01)] 11 Claims
OG exemplary drawing
 
1. A method for providing a lung disease risk measure in a Computer Aided Diagnosis (CADx) system comprising:
receiving an input comprising at least one input image showing all or part of the lungs of a patient;
analysing the input to identify a feature descriptor comprised of at least one feature group comprised of at least one feature computed from the input image, wherein the at least one feature group describes a characteristic of the image that is not provided as a separate input and correlates to a known clinical predictor of the lung disease;
calculating a score explanation factor for each feature group, and an overall disease risk score for the patient's risk of lung disease from the feature descriptor; and
outputting a graphical or textual representation of the overall disease risk score and a corresponding score explanation factor for each feature group, wherein the collection of score explanation factors indicate the proportion to which each characteristic associated with each feature group contributed to the disease risk score; wherein the representation shows which explanation factors have a negative effect on the lung disease risk score, and which explanation factors have a positive effect on the lung disease risk score.