Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration.

Objective: Reticular pseudodrusen (RPD), a key feature of age-related macular degeneration (AMD), are poorly detected by human experts on standard color fundus photography (CFP) and typically require advanced imaging modalities such as fundus autofluorescence (FAF). The objective was to develop and evaluate the performance of a novel multimodal, multitask, multiattention (M3) deep learning framework on RPD detection.

Materials And Methods: A deep learning framework (M3) was developed to detect RPD presence accurately using CFP alone, FAF alone, or both, employing >8000 CFP-FAF image pairs obtained prospectively (Age-Related Eye Disease Study 2).

[Artificial intelligence for eye care].

Technological developments in ophthalmic imaging and artificial intelligence (AI) create new possibilities for diagnostics in eye care. AI has already been applied in ophthalmic diabetes care. AI-systems currently detect diabetic retinopathy in general practice with a high sensitivity and specificity.

Performance of Classification Systems for Age-Related Macular Degeneration in the Rotterdam Study.

Purpose: To compare frequently used classification systems for age-related macular degeneration (AMD) in their abilty to predict late AMD.

Methods: In total, 9066 participants from the population-based Rotterdam Study were followed up for progression of AMD during a study period up to 30 years. AMD lesions were graded on color fundus photographs after confirmation on other image modalities and grouped at baseline according to six classification systems.

Cytokine and chemokine dynamics differ between rats and mice after collagen implantation.

Implanted scaffold materials induce an inflammatory reaction known as the 'foreign body reaction' (FBR). We hypothesized that the observed difference in FBR between rats and mice correlate with different expression dynamics of cytokines and chemokines, which are key orchestrators of the FBR. After implantation of hexamethylene diisocyanate cross-linked dermal sheep collagen, the overall gene expression pattern of IL-1, IL-6, IL-10, TNFalpha, CXCL1/KC, CXCL2/MIP2 and CCL2/MCP1 was roughly similar for the two species.

The correlation between difference in foreign body reaction between implant locations and cytokine and MMP expression.

The foreign body reaction (FBR) differs between subcutaneously and supra-epicardially implanted materials. We hypothesize that this is a result of differences in cytokine, chemokine and matrix metalloproteinase (MMP) dynamics. Therefore we applied collagen disks subcutaneously and on the epicardium in mice and analyzed the FBR from day 1 to 21.

Cellular and molecular dynamics in the foreign body reaction.

Intracorporally implanted materials, such as medical devices, will provoke the body to initiate an inflammatory reaction. This inflammatory reaction to implanted materials is known as the foreign body reaction (FBR) and is characterized by 3 distinct phases: onset, progression, and resolution. The FBR proceeds in the creation of a dynamic microenvironment that is spatially well organized.

The modulation of angiogenesis in the foreign body response by the poxviral protein M-T7.

The foreign body response is characterized by enhanced recruitment of inflammatory cells. As the directional movement of cells is controlled by chemokines, disruption of the chemokine network would be an attractive approach to improve biocompatibility of an implanted material. The sequestration of chemokines by cell surface-expressed glycosaminoglycans (GAGs) is vital for in vivo chemokine activity.