AIMC Topic: Eye Banks

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Evaluation of Sociomedical Factors on Corneal Donor Recovery Using Machine Learning.

Ophthalmic epidemiology Sep 17, 2024
PURPOSE: To evaluate co-morbid sociomedical conditions affecting corneal donor endothelial cell density and transplant suitability.
Humans Machine Learning Female Aged Adult Male Middle Aged Tissue Donors Cell Count Endothelium, Corneal Corneal Transplantation Eye Banks
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Quality Control in the Corneal Bank with Artificial Intelligence: Comparison of a New Deep Learning-based Approach with Conventional Endothelial Cell Counting by the "Rhine-Tec Endothelial Analysis System".

Klinische Monatsblatter fur Augenheilkunde Apr 4, 2024
Endothelial cell density (ECD) is a crucial parameter for the release of corneal grafts for transplantation. The Lions Eye Bank of Baden-Württemberg uses the "Rhine-Tec Endothelial Analysis System" for ECD quantification, which is based on a fixed co...
Humans Artificial Intelligence Deep Learning Cell Count Quality Control Microscopy, Phase-Contrast Endothelium, Corneal Corneal Transplantation Eye Banks
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Artificial Intelligence-Assisted Matching of Human Postmortem Donors to Ocular Research Projects.

Advances in experimental medicine and biology Jan 1, 2025
The scarcity of human ocular samples with short postmortem intervals (PMIs) is a significant issue in ophthalmic research and drug discovery. A contributing factor is that eye banks must manually match donor data to prospective research project crite...
Humans Artificial Intelligence Databases, Factual Retrospective Studies Biomedical Research Tissue Donors Natural Language Processing Autopsy Eye Banks
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