AIMC Topic: Middle Aged

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Classification Criteria for Multiple Sclerosis-Associated Intermediate Uveitis.

American journal of ophthalmology
PURPOSE: The purpose of this study was to determine classification criteria for multiple sclerosis-associated intermediate uveitis.

Classification Criteria for Syphilitic Uveitis.

American journal of ophthalmology
PURPOSE: To determine classification criteria for syphilitic uveitis.

Classification Criteria for Multifocal Choroiditis With Panuveitis.

American journal of ophthalmology
PURPOSE: To determine classification criteria for multifocal choroiditis with panuveitis (MFCPU).

Classification Criteria for Cytomegalovirus Retinitis.

American journal of ophthalmology
PURPOSE: The purpose of this study was to determine classification criteria for cytomegalovirus (CMV) retinitis.

Assistance from Automated ASPECTS Software Improves Reader Performance.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
PURPOSE: To compare physicians' ability to read Alberta Stroke Program Early CT Score (ASPECTS) in patients with a large vessel occlusion within 6 hours of symptom onset when assisted by a machine learning-based automatic software tool, compared with...

Deep Learning Model for Automated Detection and Classification of Central Canal, Lateral Recess, and Neural Foraminal Stenosis at Lumbar Spine MRI.

Radiology
Background Assessment of lumbar spinal stenosis at MRI is repetitive and time consuming. Deep learning (DL) could improve -productivity and the consistency of reporting. Purpose To develop a DL model for automated detection and classification of lumb...

Radiomics-based neural network predicts recurrence patterns in glioblastoma using dynamic susceptibility contrast-enhanced MRI.

Scientific reports
Glioblastoma remains the most devastating brain tumor despite optimal treatment, because of the high rate of recurrence. Distant recurrence has distinct genomic alterations compared to local recurrence, which requires different treatment planning bot...

Agreement between neuroimages and reports for natural language processing-based detection of silent brain infarcts and white matter disease.

BMC neurology
BACKGROUND: There are numerous barriers to identifying patients with silent brain infarcts (SBIs) and white matter disease (WMD) in routine clinical care. A natural language processing (NLP) algorithm may identify patients from neuroimaging reports, ...

Using machine-learning algorithms to identify patients at high risk of upper gastrointestinal lesions for endoscopy.

Journal of gastroenterology and hepatology
BACKGROUND AND AIM: Endoscopic screening for early detection of upper gastrointestinal (UGI) lesions is important. However, population-based endoscopic screening is difficult to implement in populous countries. By identifying high-risk individuals fr...