Multi-center Database Registry to Study Thalamus Changes Using AI in MS

Multi-center Database Registry to Study Thalamus Changes Using AI in MS

Publication date: Apr 19, 2019

In this study the Investigator’s propose to validate a newly developed approach, DeepGRAI (Deep Gray Rating via Artificial Intelligence), to simplify the calculation of thalamic atrophy in a clinical routine and allow academic and community neurologists to plan, perform, and publish novel and influential clinical research using data from clinical routine, by employing deep machine learning (DML) pattern recognition (PR) information through use of artificial intelligence (AI).

Concepts Keywords
AI MRI
Artificial Intelligence Artificial intelligence
Atrophy Medicine
Brain Medical physics
Buffalo Nervous system
Classis Organ systems
Cross Scan
Deep Learning Cryogenics
Investigational Drug Neuroimaging
Lactating Magnetic resonance imaging
MRI Multiple sclerosis
MRI Scan
Neurologic Diseases
Relapse
Steroid
Thalamic
Thalamus

Semantics

Type Source Name
disease MESH Sclerosis
gene UNIPROT ALG3
gene UNIPROT NR4A2
disease MESH relapse
disease MESH Multi
disease MESH atrophy
disease MESH community
gene UNIPROT CYREN
gene UNIPROT SLC35G1

Original Article

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