The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 19, 2021

Filed:

Oct. 21, 2019
Applicant:

University of Louisville Research Foundation, Inc., Louisville, KY (US);

Inventors:

Ayman S. El-Baz, Louisville, KY (US);

Fatmaelzahraa El-Gamal, Mansoura, EG;

Mohammed Elmogy, Mansoura, EG;

Gregory N. Barnes, Louisville, KY (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G16H 50/20 (2018.01); G16H 30/20 (2018.01); G06N 20/10 (2019.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06N 20/10 (2019.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06T 2207/10088 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/30016 (2013.01);
Abstract

A non-invasive computer-aided diagnosis system generates a diagnosis of mild cognitive impairment, a disease state which often leads to the development of Alzheimer's disease. The system uses as inputs both functional positron emission tomography and structural magnetic resonance imaging data, reconstructs a model of the patient's cortex, uses machine-learning techniques to generate probabilities for mild cognitive impairments for local cortical regions, uses machine-learning techniques to fuse the local diagnoses to generate a global diagnosis based on each imaging modality, then uses machine-learning techniques to fuse the modality-specific global diagnoses to generate a final global diagnosis.


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