A software based on artificial intelligence (AI), which was developed by researchers at the Eye Clinic of the University Hospital Bonn, Stanford University and University of Utah, enables the precise assessment of the progression of geographic atrophy (GA), a disease of the light sensitive retina caused by age-related macular degeneration (AMD). This innovative approach permits the fully automated measurement of the main atrophic lesions using data from optical coherence tomography, which provides three-dimensional visualization of the structure of the retina. In addition, the research team can precisely determine the integrity of light sensitive cells of the entire central retina and also detect progressive degenerative changes of the so-called photoreceptors beyond the main lesions. The findings will be used to assess the effectiveness of new innovative therapeutic approaches. The study has now been published in the journal “JAMA Ophthalmology”.
There is no effective treatment for geographic atrophy, one of the most common causes of blindness in industrialized nations. The disease damages cells of the retina and causes them to die. The main lesions, areas of degenerated retina, also known as “geographic atrophy”, expand as the disease progresses and result in blind spots in the affected person’s visual field. A major challenge for evaluating therapies is that these lesions progress slowly, which means that intervention studies require a long follow-up period. “When evaluating therapeutic approaches, we have so far concentrated primarily on the main lesions of the disease. However, in addition to central visual field loss, patients also suffer from symptoms such as a reduced light sensitivity in the surrounding retina,” explains Prof. Dr. Frank G. Holz, Director of the Eye Clinic at the University Hospital Bonn. “Preserving the microstructure of the retina outside the main lesions would therefore already be an important achievement, which could be used to verify the effectiveness of future therapeutic approaches… Continue reading.
WASHINGTON, D.C.—The American Institute for Medical and Biological Engineering (AIMBE) has announced the induction of Daniel L. Rubin, MD, MS, Professor of Biomedical Data Science, Radiology, and Medicine (Biomedical Informatics) and, by courtesy, Ophthalmology, Department of Biomedical Data Science, Stanford University School of Medicine, to its College of Fellows. Dr. Rubin was nominated, reviewed, and elected by peers and members of the College of Fellows for outstanding contributions to biomedical informatics and medicine through development and clinical translation of computerized methods for analyzing imaging data.