Ursula Schmidt‐Erfurth
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Outcomes of Strabismus Surgery in Patients with Cranial Nerve Palsy Open
Strabismus, or squint or deviating eyes, is defined as misalignment of the eyes when fixating on an object and is a common problem in ophthalmology. Palsy of the third, fourth or sixth cranial nerve is one of the leading underlying causes …
Fluid/function correlation using <span>AI</span>‐based quantification versus central subfield thickness in treatment‐naïve and pre‐treated patients with neovascular <span>AMD</span> in a real‐world setting Open
Purpose To investigate the association between best‐corrected visual acuity (BCVA) and quantitative macular fluid volumes, compared to central subfield thickness (CST) in treatment‐naïve and previously treated patients with active neovascu…
Using adaptive optics to assess hyporeflective clump speed and size in age-related macular degeneration in the PINNACLE Study. (PINNACLE Study Report 6) Open
Background/Objectives Hyporeflective clumps (HRC) are a common finding in adaptive optics ophthalmoscopy (AOO) of age-related macular degeneration (AMD). They appear on optical coherence tomography (OCT) as hyperreflective foci (HRF) or ab…
Human expert grading versus automated quantification of fluid volumes in nAMD, DME and BRVO Open
This study compared an automated deep learning algorithm with certified human graders from the Vienna Reading Center (VRC) in identifying intra- (IRF) and subretinal fluid (SRF) in OCT scans of patients treated for neovascular age-related …
Specialized curricula for training vision language models in retinal image analysis Open
Clinicians spend significant time reviewing medical images and transcribing findings. By integrating visual and textual data, foundation models have the potential to reduce workloads and boost efficiency, yet their practical clinical value…
RetFiner: A Vision-Language Refinement Scheme for Retinal Foundation Models Open
The rise of imaging techniques such as optical coherence tomography (OCT) and advances in deep learning (DL) have enabled clinicians and researchers to streamline retinal disease staging. A popular DL approach is self-supervised learning (…
View article: Visual Acuity and Quality of Life Outcomes With Pegcetacoplan Treatment: A Post Hoc Analysis From the OAKS and DERBY Trials
Visual Acuity and Quality of Life Outcomes With Pegcetacoplan Treatment: A Post Hoc Analysis From the OAKS and DERBY Trials Open
Pegcetacoplan treatment demonstrated a potentially meaningful slower decline in visual acuity and QoL for patients with GA lesions ≥250 µm from the foveal center. The change in visual acuity and QoL seen with pegcetacoplan treatment for pa…
A Novel Effect of Microaneurysms and Retinal Cysts on Capillary Perfusion in Diabetic Macular Edema: A Multimodal Imaging Study Open
Background/Objectives: The aim of this study was to investigate the potential contribution of microaneurysms (MAs) and retinal cysts to the pathogenesis of macular non-perfusion in patients with diabetic macular edema (DME) using multimoda…
Anomaly Detection in Retinal OCT Images With Deep Learning-Based Knowledge Distillation Open
Deep learning approaches can enable an automated and objective screening of a wide range of pathological retinal conditions that deviate from normal appearance.
Longitudinal clinical characteristics of patients with neurofibromatosis type 1 Open
Optic nerve glioma poses a significant threat to vision in NF1 patients, necessitating biannual follow-up until age 6, including MRI, fundoscopy, and OCT imaging.
Artificial intelligence in managing retinal disease—current concepts and relevant aspects for health care providers Open
Summary Given how the diagnosis and management of many ocular and, most specifically, retinal diseases heavily rely on various imaging modalities, the introduction of artificial intelligence (AI) into this field has been a logical, inevita…
Comparison of <span>AI</span>‐based retinal fluid monitoring in neovascular age‐related macular degeneration with manual assessment by different eye care professionals under optimized conditions Open
Purpose To investigate whether automated intra‐ and subretinal fluid (IRF/SRF) volume measurements are equivalent to manual evaluations by eye care professionals from different backgrounds on real‐world optical coherence tomography (OCT) i…
Pediatric and Juvenile Strabismus Surgery Under General Anesthesia: Functional Outcomes and Safety Open
Background/Objectives: The aim of this paper was to evaluate the safety of surgical intervention using anesthesia and ophthalmological parameters in pediatric strabismus patients. The design involved retrospective case series. Methods: The…
View article: Normative prospective data on automatically quantified retinal morphology correlated to retinal function in healthy ageing eyes by two microperimetry devices
Normative prospective data on automatically quantified retinal morphology correlated to retinal function in healthy ageing eyes by two microperimetry devices Open
Purpose The relationship between retinal morphology, as assessed by optical coherence tomography (OCT), and retinal function in microperimetry (MP) has not been well studied, despite its increasing importance as an essential functional end…
View article: Specialized curricula for training vision-language models in retinal image analysis
Specialized curricula for training vision-language models in retinal image analysis Open
Clinicians spend a significant amount of time reviewing medical images and transcribing their findings regarding patient diagnosis, referral and treatment in text form. Vision-language models (VLMs), which automatically interpret images an…
Artificial intelligence in assessing progression of age-related macular degeneration Open
The human population is steadily growing with increased life expectancy, impacting the prevalence of age-dependent diseases, including age-related macular degeneration (AMD). Health care systems are confronted with an increasing burden wit…
Repeatability of Microperimetry in Areas of Retinal Pigment Epithelium and Photoreceptor Loss in Geographic Atrophy Supported by Artificial Intelligence–Based Optical Coherence Tomography Biomarker Quantification Open
Areas presenting automatically quantified PR integrity loss with and without underlying RPE loss are associated with higher test-retest variance for both MAIA and MP3. These findings are crucial for an accurate interpretation of GA progres…
Correlation of retinal fluid and photoreceptor and RPE loss in neovascular AMD by automated quantification, a real‐world FRB! analysis Open
Purpose To quantify ellipsoid zone (EZ) loss during anti‐VEGF therapy for neovascular age‐related macular degeneration (nAMD) and correlate these findings with nAMD disease activity using artificial intelligence‐based algorithms. Methods S…
A Novel Management Challenge in Age-Related Macular Degeneration Open
The author(s) have no proprietary or commercial interest in any materials discussed in this article.
VLFATRollout: Fully transformer-based classifier for retinal OCT volumes Open
VLFATRollout was thoroughly tested on the retinal optical coherence tomography (OCT) volume classification task, demonstrating a notable average improvement of 5.47% in balanced accuracy over the leading convolutional models for a 5-class …
AI in the clinical management of GA: A novel therapeutic universe requires novel tools Open
Regulatory approval of the first two therapeutic substances for the management of geographic atrophy (GA) secondary to age-related macular degeneration (AMD) is a major breakthrough following failure of numerous previous trials. However, i…
View article: Association of microaneurysms with retinal vascular alterations in patients with retinal vein occlusion
Association of microaneurysms with retinal vascular alterations in patients with retinal vein occlusion Open
MAs were associated with extensive NPA, the presence of CV, GV, and TV. There was no correlation between the diameter of the MA and the adjacent intraretinal fluid in our predominantly pretreated RVO study patients.