AIMC Topic: Cross-Sectional Studies
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Multimodal Machine Learning Using Visual Fields and Peripapillary Circular OCT Scans in Detection of Glaucomatous Optic Neuropathy.
Ophthalmology
Jul 30, 2021
PURPOSE: To develop and validate a multimodal artificial intelligence algorithm, FusionNet, using the pattern deviation probability plots from visual field (VF) reports and circular peripapillary OCT scans to detect glaucomatous optic neuropathy (GON...
Retinal Ganglion Cells
Visual Fields
Visual Field Tests
Optic Nerve Diseases
Glaucoma, Open-Angle
Multimodal Imaging
Area Under Curve
Tomography, Optical Coherence
Nerve Fibers
Middle Aged
ROC Curve
Vision Disorders
Machine Learning
Algorithms
Female
Aged
Adult
Cross-Sectional Studies
Intraocular Pressure
Male
Humans
S3Reg: Superfast Spherical Surface Registration Based on Deep Learning.
IEEE transactions on medical imaging
Jul 30, 2021
Cortical surface registration is an essential step and prerequisite for surface-based neuroimaging analysis. It aligns cortical surfaces across individuals and time points to establish cross-sectional and longitudinal cortical correspondences to faci...
Machine learning to predict distal caries in mandibular second molars associated with impacted third molars.
Scientific reports
Jul 29, 2021
Impacted mandibular third molars (M3M) are associated with the occurrence of distal caries on the adjacent mandibular second molars (DCM2M). In this study, we aimed to develop and validate five machine learning (ML) models designed to predict the occ...
Automatic segmentation of corneal deposits from corneal stromal dystrophy images via deep learning.
Computers in biology and medicine
Jul 27, 2021
BACKGROUND: Granular dystrophy is the most common stromal dystrophy. To perform automated segmentation of corneal stromal deposits, we trained and tested a deep learning (DL) algorithm from patients with corneal stromal dystrophy and compared its per...
Needs for re-intervention on restored teeth in adults: a practice-based study.
Clinical oral investigations
Jul 24, 2021
OBJECTIVES: Evaluate the need for re-intervention on dental coronal restorations in adults seen in a network of general dental practitioners (ReCOL). MATERIALS AND METHODS: This observational, cross-sectional, multicenter study involved 40 practitio...
Digital phenotyping of sleep patterns among heterogenous samples of Latinx adults using unsupervised learning.
Sleep medicine
Jul 19, 2021
OBJECTIVE: This study aimed to identify sleep disturbance subtypes ("phenotypes") among Latinx adults based on objective sleep data using a flexible unsupervised machine learning technique.
Role of Robotics and Artificial Intelligence in Oral Health and Preventive Dentistry - Knowledge, Perception and Attitude of Dentists.
Oral health & preventive dentistry
Jul 15, 2021
PURPOSE: To assess the knowledge, attitude and perception of dentists (dental students, dental school graduates/interns, postgraduate dentists) of the role of robotics (R) and artificial intelligence (AI) in oral health and preventive dentistry. The ...
Digitalization of waste management: Insights from German private and public waste management firms.
Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
Jun 30, 2021
Policymakers, practitioners, and scholars have long-lauded digital technologies, such as smart waste containers or artificial intelligence for material recognition and robotic automation, as key enablers to more effective and efficient waste manageme...
Establishing a carotid artery stenosis disease cohort for comparative effectiveness research using natural language processing.
Journal of vascular surgery
Jun 25, 2021
OBJECTIVE: Investigation of asymptomatic carotid stenosis treatment is hindered by the lack of a contemporary population-based disease cohort. We describe the use of natural language processing (NLP) to identify stenosis in patients undergoing caroti...
Humans
Retrospective Studies
Predictive Value of Tests
Natural Language Processing
Data Mining
Ultrasonography, Doppler
Cross-Sectional Studies
California
Severity of Illness Index
Medical Records
Comparative Effectiveness Research
Hemodynamics
International Classification of Diseases
Asymptomatic Diseases
Magnetic Resonance Angiography
Computed Tomography Angiography
Carotid Stenosis
Multimodal deep learning with feature level fusion for identification of choroidal neovascularization activity in age-related macular degeneration.
Acta ophthalmologica
Jun 23, 2021
PURPOSE: This study aimed to determine the efficacy of a multimodal deep learning (DL) model using optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA) images for the assessment of choroidal neovascularization (CNV) ...
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