98%
921
2 minutes
20
Background: In view of the predicted increase in incidence and prevalence of chronic retinal diseases and undersupply of care in the population, telemedicine could contribute to reducing access barriers to healthcare and improving the results of treatment.
Objective: A literature review on remote monitoring of chronic retinal diseases was carried out.
Material And Methods: The medical literature was searched for publications on remote monitoring of chronic retinal diseases. The results were compiled in a narrative overview.
Results: The four main topics in the literature are: validation studies, implementation strategies, acceptance/target group analyses and health economic analyses. Remote monitoring systems are based on visual function tests, imaging or patient reports and have been particularly investigated in age-related macular degeneration (AMD) and diabetic eye disease (DED). Studies indicate positive effects regarding an optimization of clinical care and a favorable safety profile but randomized controlled trials are lacking for the majority of monitoring tools.
Conclusion: Remote monitoring could complement existing care structures for patients with chronic retinal diseases, especially AMD and DED. Promising systems are based on hyperacuity or optical coherence tomography, while patient-reported data are not commonly used; however, there is currently insufficient evidence justifying the use of remote monitoring systems in chronic retinal diseases in Europe and more research on the validation of remote monitoring systems is needed.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s00347-024-02109-2 | DOI Listing |
Environ Monit Assess
September 2025
Department of Water Resources Study and Research, Water Research Institute, Tehran, Iran.
Small glaciers situated in high mountainous areas are experiencing notable declines, characterized by unprecedented rates of ice loss in recent years. This study investigates the recent changes in surface elevation and mass loss occurring between 2010 and 2023 within the Alamkouh Glacier over three subperiods, one of the biggest glaciers in Iran and the Middle East. These assessments are derived from a combination of high-resolution LiDAR data in 2010 (with a spatial resolution of 20 cm) and multi-temporal surveys conducted using unmanned aerial vehicles (UAVs) in 2018, 2020, and 2023 (with spatial resolutions varied from 10 to 20 cm).
View Article and Find Full Text PDFEcol Evol
September 2025
Department of Ecological, Plant & Animal Sciences Centre for Freshwater Ecosystems, School of Agriculture, Biomedicine and Environment, La Trobe University, Albury-Wodonga Campus West Wodonga Victoria Australia.
Freshwater turtles in the Murray-Darling Basin (MDB), Australia, have declined since the 1970s. Intense nest predation by introduced foxes likely contributes to these declines, disrupting juvenile recruitment needed to sustain populations. Traditional lethal control methods, such as baiting and shooting, have proven inadequate, highlighting the need for innovative conservation strategies.
View Article and Find Full Text PDFAlpine streams represent some of the most challenging yet ecologically valuable freshwater environments to study, due to their remoteness, fast flows and extreme climatic conditions. Traditional fish survey methods are often impractical or invasive in these habitats. This study presents a lightweight, low-cost, T-shaped remote underwater video (RUV) system optimized for fish monitoring in small, high-altitude streams of the European Alps.
View Article and Find Full Text PDFRev Cardiovasc Med
August 2025
Department of Cardiology, University Hospitals of Leicester NHS Trust, Glenfield Hospital, LE3 9QP Leicester, UK.
Adult congenital heart disease (ACHD) constitutes a heterogeneous and expanding patient cohort with distinctive diagnostic and management challenges. Conventional detection methods are ineffective at reflecting lesion heterogeneity and the variability in risk profiles. Artificial intelligence (AI), including machine learning (ML) and deep learning (DL) models, has revolutionized the potential for improving diagnosis, risk stratification, and personalized care across the ACHD spectrum.
View Article and Find Full Text PDFRev Cardiovasc Med
August 2025
Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, 113-8421 Tokyo, Japan.
Background: Limited data are available regarding the prevalence of sleep-disordered breathing (SDB), particularly Cheyne-Stokes respiration (CSR), in patients with atrial fibrillation (AF) and left ventricular (LV) systolic dysfunction. Thus, this study aimed to investigate the prevalence of SDB and CSR, as well as the factors associated with these conditions, in patients with AF without LV systolic dysfunction.
Methods: Patients with paroxysmal and non-paroxysmal AF underwent echocardiography and cardiorespiratory polygraphy.