Results 101 to 110 of about 286,513 (354)
Involving the parents of preterm babies
The prevention, detection and treatment of ROP is a team responsibility. Parents are important members of the team and their involvement is essential in ensuring optimal visual outcomes.
Julie Flanagan+2 more
doaj
KLF4 (Krüppel‐like factor 4) plays a protective role in blood–brain barrier (BBB). KLF4 plays an ambiguous role in the central nervous system. KLF4 in the BBB endothelial cells could be a potential target for Alzheimer's disease. Abstract Alzheimer's disease is the most prevalent chronic neurodegenerative disorder worldwide, with no sufficient cure ...
Ziying Wei+4 more
wiley +1 more source
Aims: To detect the risk factors of diabetes mellitus (DM) and cardiovascular complications in subjects with impaired fasting glucose (IFG). Materials and Methods: One hundred and twenty three subjects with proved IFG in Zanjan Healthy Heart Study (2002 ...
Faranak Sharifi+4 more
doaj +1 more source
Longitudinal imaging of microvascular remodelling in proliferative diabetic retinopathy using adaptive optics scanning light ophthalmoscopy [PDF]
Purpose To characterise longitudinal changes in the retinal microvasculature of type 2 diabetes mellitus (T2DM) as exemplified in a patient with proliferative diabetic retinopathy (PDR) using an adaptive optics scanning light ophthalmoscope (AOSLO ...
Cheang, Eric+8 more
core +2 more sources
A Newly Defined, Common Ophthalmologic Condition Requires Special Neurological Attention
A host of acquired abnormalities in visual function are known to occur in persons who suffer stroke, traumatic brain injury, and neurodegenerative disorders. Cerebral visual impairment occurs in children with early neurological injury or disorders, especially neonatal hypoxic‐ischemic injury.
Kristina K. Hardy+2 more
wiley +1 more source
A Residual Encoder-Decoder Network for Segmentation of Retinal Image-Based Exudates in Diabetic Retinopathy Screening [PDF]
Diabetic retinopathy refers to the pathology of the retina induced by diabetes and is one of the leading causes of preventable blindness in the world. Early detection of diabetic retinopathy is critical to avoid vision problem through continuous screening and treatment.
arxiv
Supervised machine learning based multi-task artificial intelligence classification of retinopathies
Artificial intelligence (AI) classification holds promise as a novel and affordable screening tool for clinical management of ocular diseases. Rural and underserved areas, which suffer from lack of access to experienced ophthalmologists may particularly ...
Alam, Minhaj+4 more
core +1 more source
Hydroxychloroquine retinopathy [PDF]
Hydroxychloroquine (HCQ; Plaquenil) is used increasingly in the management of a variety of autoimmune disorders, with well established roles in dermatology and rheumatology and emerging roles in oncology. Hydroxychloroquine has demonstrated a survival benefit in patients with systemic lupus erythematosus; some clinicians advocate its use in all such ...
Yusuf, I+3 more
openaire +2 more sources
Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema Grading [PDF]
Diabetes is a globally prevalent disease that can cause visible microvascular complications such as diabetic retinopathy and macular edema in the human eye retina, the images of which are today used for manual disease screening. This labor-intensive task could greatly benefit from automatic detection using deep learning technique.
arxiv
Diabetic Retinopathy detection by retinal image recognizing [PDF]
Many people are affected by diabetes around the world. This disease may have type 1 and 2. Diabetes brings with it several complications including diabetic retinopathy, which is a disease that if not treated correctly can lead to irreversible damage in the patient's vision.
arxiv