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Artificial intelligence in glaucoma
Chengjie Zheng
,
Thomas V. Johnson
, Aakriti Garg
, Michael V. Boland
School of Medicine
Research output
:
Contribution to journal
›
Review article
›
peer-review
22
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Scopus citations
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Keyphrases
Glaucoma
100%
Artificial Intelligence
100%
Artificial Intelligence Techniques
50%
Early Detection
25%
Disease Severity
25%
New Disease
25%
Disease Progression
25%
Optical Coherence Tomography
25%
Ophthalmologist
25%
Disease Pattern
25%
Computer Use
25%
Specialty Care
25%
Optic Nerve
25%
Visual Field
25%
Fundus Photography
25%
Potential Impact
25%
Global Experts
25%
Medical Decision Making
25%
Novel Risk Factors
25%
Nerve Structure
25%
Improvement Methods
25%
Automated Processing
25%
Corneal Biomechanics
25%
Unseen
25%
Glaucoma Care
25%
Glaucoma Diagnosis
25%
Global Index
25%
Unsupervised Method
25%
Glaucoma Severity
25%
Supervised Methods
25%
Glaucoma Classification
25%
Extracting Knowledge
25%
Intelligent Analysis
25%
Disease Definition
25%
Screening Diagnosis
25%
Medicine and Dentistry
Glaucoma
100%
Artificial Intelligence
100%
Diseases
28%
Disease Exacerbation
14%
Disease Severity
14%
Patient Referral
14%
Optical Coherence Tomography
14%
Optic Nerve
14%
Fundus Photography
14%
Medical Decision Making
14%
Visual Field
14%
Neuroscience
Glaucoma
100%
Artificial Intelligence
100%
Optic Nerve
14%
Decision-Making
14%
Risk Factor
14%
Biochemistry, Genetics and Molecular Biology
Artificial Intelligence
100%
Visual Field
14%
Medical Decision Making
14%
Optics
14%