AIMC Topic: Retina
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A foundation model for generalizable disease detection from retinal images.
Nature
Sep 13, 2023
Medical artificial intelligence (AI) offers great potential for recognizing signs of health conditions in retinal images and expediting the diagnosis of eye diseases and systemic disorders. However, the development of AI models requires substantial a...
Using a dual-stream attention neural network to characterize mild cognitive impairment based on retinal images.
Computers in biology and medicine
Sep 9, 2023
Mild cognitive impairment (MCI) is a critical transitional stage between normal cognition and dementia, for which early detection is crucial for timely intervention. Retinal imaging has been shown as a promising potential biomarker for MCI. This stud...
iOCT-guided simulated subretinal injections: a comparison between manual and robot-assisted techniques in an ex-vivo porcine model.
Journal of robotic surgery
Sep 5, 2023
The purpose of this study is to compare robot-assisted and manual subretinal injections in terms of successful subretinal blistering, reflux incidences and damage of the retinal pigment epithelium (RPE). Subretinal injection was simulated on 84 ex-vi...
OCT-based deep-learning models for the identification of retinal key signs.
Scientific reports
Sep 5, 2023
A new system based on binary Deep Learning (DL) convolutional neural networks has been developed to recognize specific retinal abnormality signs on Optical Coherence Tomography (OCT) images useful for clinical practice. Images from the local hospital...
Elastic Deformation of Optical Coherence Tomography Images of Diabetic Macular Edema for Deep-Learning Models Training: How Far to Go?
IEEE journal of translational engineering in health and medicine
Jul 24, 2023
UNLABELLED: - Objective: To explore the clinical validity of elastic deformation of optical coherence tomography (OCT) images for data augmentation in the development of deep-learning model for detection of diabetic macular edema (DME).
Gaze Point Tracking Based on a Robotic Body-Head-Eye Coordination Method.
Sensors (Basel, Switzerland)
Jul 11, 2023
When the magnitude of a gaze is too large, human beings change the orientation of their head or body to assist their eyes in tracking targets because saccade alone is insufficient to keep a target at the center region of the retina. To make a robot g...
The macular retinal ganglion cell layer as a biomarker for diagnosis and prognosis in multiple sclerosis: A deep learning approach.
Acta ophthalmologica
Jun 10, 2023
PURPOSE: The macular ganglion cell layer (mGCL) is a strong potential biomarker of axonal degeneration in multiple sclerosis (MS). For this reason, this study aims to develop a computer-aided method to facilitate diagnosis and prognosis in MS.
Enhanced Deep Learning Model for Classification of Retinal Optical Coherence Tomography Images.
Sensors (Basel, Switzerland)
Jun 7, 2023
Retinal optical coherence tomography (OCT) imaging is a valuable tool for assessing the condition of the back part of the eye. The condition has a great effect on the specificity of diagnosis, the monitoring of many physiological and pathological pro...
Comparing Common Retinal Vessel Caliber Measurement Software with an Automatic Deep Learning System.
Current eye research
May 29, 2023
PURPOSE: To compare the Retina-based Microvascular Health Assessment System (RMHAS) with Integrative Vessel Analysis (IVAN) for retinal vessel caliber measurement.
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