BMJ Open Ophthalmol
Deep Learning-Assisted Analysis of Biomarker Changes in Therapy-Resistant Neovascular Age-Related Macular Degeneration
Hafner M, Asani B, Eckardt F, et al
In this article, the authors evaluated the real-world efficacy of aflibercept 8 mg in patients with refractory neovascular age-related macular degeneration, focusing on changes in optical coherence tomography biomarkers using a deep learning-based algorithm. Aflibercept 8 mg effectively and durably reduced biomarkers, highlighting the potential use of deep learning for enhancing treatment monitoring and decision-making.
Previous Article
- • Deep Learning-Assisted Analysis of Biomarker Changes in Therapy-Resistant Neovascular Age-Related Macular Degeneration
- • Real-World Safety and Efficacy of 8 mg Aflibercept in nAMD
- • Case Report: Aflibercept for DME in Vitrectomized Eyes
- • Guideline Recommendations for Optimal Anti-VEGF Therapy in AMD
- • AI-Assisted Fluid Volume Analysis of Treatment-Naive nAMD in the Real World
- • Consecutive Monthly Loading Administrations of Aflibercept 8 Mg for Treatment-Naïve Exudative AMD
- • Outcomes of High-Dose Aflibercept in Exudative nAMD
- • PULSAR: Intravitreal Aflibercept 8 mg in nAMD
- • PHOTON: Intravitreal Aflibercept 8 mg in Diabetic Macular Edema
- • CANDELA: Aflibercept 8 mg in Patients With nAMD
