AIMC Topic: Blindness
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Novel use of robot-assisted gait rehabilitation in a patient with stroke and blindness.
BMJ case reports
Jul 21, 2023
Robot-assisted gait training (RAGT) is an effective adjunctive treatment for patients with stroke that helps to regain functional mobility and is applied in many rehabilitation units for poststroke neurorecovery. We discuss our successful attempt to ...
Review of Visualization Approaches in Deep Learning Models of Glaucoma.
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Jul 13, 2023
Glaucoma is a major cause of irreversible blindness worldwide. As glaucoma often presents without symptoms, early detection and intervention are important in delaying progression. Deep learning (DL) has emerged as a rapidly advancing tool to help ach...
Using Deep Learning Architectures for Detection and Classification of Diabetic Retinopathy.
Sensors (Basel, Switzerland)
Jun 19, 2023
Diabetic retinopathy (DR) is a common complication of long-term diabetes, affecting the human eye and potentially leading to permanent blindness. The early detection of DR is crucial for effective treatment, as symptoms often manifest in later stages...
Deep learning for automated detection of neovascular leakage on ultra-widefield fluorescein angiography in diabetic retinopathy.
Scientific reports
Jun 6, 2023
Diabetic retinopathy is a leading cause of blindness in working-age adults worldwide. Neovascular leakage on fluorescein angiography indicates progression to the proliferative stage of diabetic retinopathy, which is an important distinction that requ...
Deciphering multiple sclerosis disability with deep learning attention maps on clinical MRI.
NeuroImage. Clinical
Mar 15, 2023
The application of convolutional neural networks (CNNs) to MRI data has emerged as a promising approach to achieving unprecedented levels of accuracy when predicting the course of neurological conditions, including multiple sclerosis, by means of ext...
Advances in machine learning to detect preventable causes of blindness.
Eye (London, England)
Dec 10, 2022
UNav: An Infrastructure-Independent Vision-Based Navigation System for People with Blindness and Low Vision.
Sensors (Basel, Switzerland)
Nov 17, 2022
Vision-based localization approaches now underpin newly emerging navigation pipelines for myriad use cases, from robotics to assistive technologies. Compared to sensor-based solutions, vision-based localization does not require pre-installed sensor i...
A Midbrain Inspired Recurrent Neural Network Model for Robust Change Detection.
The Journal of neuroscience : the official journal of the Society for Neuroscience
Sep 19, 2022
We present a biologically inspired recurrent neural network (RNN) that efficiently detects changes in natural images. The model features sparse, topographic connectivity (st-RNN), closely modeled on the circuit architecture of a "midbrain attention n...
Minimized Computations of Deep Learning Technique for Early Diagnosis of Diabetic Retinopathy Using IoT-Based Medical Devices.
Computational intelligence and neuroscience
Sep 14, 2022
Diabetes mellitus is the main cause of diabetic retinopathy, the most common cause of blindness worldwide. In order to slow down or prevent vision loss and degeneration, early detection and treatment are essential. For the purpose of detecting and cl...
Development and Validation of a Deep Learning Model to Predict the Occurrence and Severity of Retinopathy of Prematurity.
JAMA network open
Jun 1, 2022
IMPORTANCE: Retinopathy of prematurity (ROP) is the leading cause of childhood blindness worldwide. Prediction of ROP before onset holds great promise for reducing the risk of blindness.
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