AIMC Topic:
Cross-Sectional Studies
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IMAGE EVALUATION OF ARTIFICIAL INTELLIGENCE-SUPPORTED OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY IMAGING USING OCT-A1 DEVICE IN DIABETIC RETINOPATHY.
Retina (Philadelphia, Pa.)
Aug 1, 2021
PURPOSE: To investigate the effect of denoise processing by artificial intelligence (AI) on the optical coherence tomography angiography (OCTA) images in eyes with retinal lesions.
Highly accurate diagnosis of papillary thyroid carcinomas based on personalized pathways coupled with machine learning.
Briefings in bioinformatics
Jul 20, 2021
Thyroid nodules are neoplasms commonly found among adults, with papillary thyroid carcinoma (PTC) being the most prevalent malignancy. However, current diagnostic methods often subject patients to unnecessary surgical burden. In this study, we develo...
Macular Ischemia Quantification Using Deep-Learning Denoised Optical Coherence Tomography Angiography in Branch Retinal Vein Occlusion.
Translational vision science & technology
Jun 1, 2021
PURPOSE: To examine whether deep-learning denoised optical coherence tomography angiography (OCTA) images could enhance automated macular ischemia quantification in branch retinal vein occlusion (BRVO).
Visual Field Inference From Optical Coherence Tomography Using Deep Learning Algorithms: A Comparison Between Devices.
Translational vision science & technology
Jun 1, 2021
PURPOSE: To develop a deep learning model to estimate the visual field (VF) from spectral-domain optical coherence tomography (SD-OCT) and swept-source OCT (SS-OCT) and to compare the performance between them.
A Deep-Learning-Based, Fully Automated Program to Segment and Quantify Major Spinal Components on Axial Lumbar Spine Magnetic Resonance Images.
Physical therapy
Jun 1, 2021
OBJECTIVE: The paraspinal muscles have been extensively studied on axial lumbar magnetic resonance imaging (MRI) for better understanding of back pain; however, the acquisition of measurements mainly relies on manual segmentation, which is time consu...
Comparisons between Locomat and Walkbot robotic gait training regarding balance and lower extremity function among non-ambulatory chronic acquired brain injury survivors.
Medicine
May 7, 2021
Lower limb rehabilitation exoskeleton robots connect with the human body in a wearable way and control the movement of joints in the gait rehabilitation process. Among treadmill-based lower limb rehabilitation exoskeleton robots, Lokomat (Hocoma AG, ...
Women's attitudes to the use of AI image readers: a case study from a national breast screening programme.
BMJ health & care informatics
Mar 1, 2021
BACKGROUND: Researchers and developers are evaluating the use of mammogram readers that use artificial intelligence (AI) in clinical settings.
Deep Learning Detection of Sea Fan Neovascularization From Ultra-Widefield Color Fundus Photographs of Patients With Sickle Cell Hemoglobinopathy.
JAMA ophthalmology
Feb 1, 2021
IMPORTANCE: Adherence to screening for vision-threatening proliferative sickle cell retinopathy is limited among patients with sickle cell hemoglobinopathy despite guidelines recommending dilated fundus examinations beginning in childhood. An automat...
Retinal Neovascularization
Retinal Vessels
Observer Variation
Pattern Recognition, Automated
Fluorescein Angiography
Humans
Photography
Retrospective Studies
Predictive Value of Tests
Anemia, Sickle Cell
Image Interpretation, Computer-Assisted
Cross-Sectional Studies
Male
Middle Aged
Deep Learning
Female
Reproducibility of Results
Young Adult
Adult
Chronic kidney disease in Hepatitis C and its association with liver cirrhosis and viral load: Revealing the importance of hematuria.
Saudi journal of kidney diseases and transplantation : an official publication of the Saudi Center for Organ Transplantation, Saudi Arabia
Jan 1, 2021
Hepatitis C virus (HCV) contributed as a risk factor for chronic kidney disease (CKD). Many studies only showed it associated with estimated glomerular filtration rate (eGFR) reduction and albuminuria, but none revealed hematuria data. Besides, liver...
Automated detection of diabetic retinopathy using machine learning classifiers.
European review for medical and pharmacological sciences
Jan 1, 2021
OBJECTIVE: Diabetic Retinopathy (DR) is a highly threatening microvascular complication of diabetes mellitus. Diabetic patients must be screened annually for DR; however, it is practically not viable due to the high volume of patients, lack of resour...
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