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Interpreting COVID Lateral Flow Tests' Results with Foundation Models
April 24, 2024, 4:45 a.m. | Stuti Pandey, Josh Myers-Dean, Jarek Reynolds, Danna Gurari
cs.CV updates on arXiv.org arxiv.org
Abstract: Lateral flow tests (LFTs) enable rapid, low-cost testing for health conditions including Covid, pregnancy, HIV, and malaria. Automated readers of LFT results can yield many benefits including empowering blind people to independently learn about their health and accelerating data entry for large-scale monitoring (e.g., for pandemics such as Covid) by using only a single photograph per LFT test. Accordingly, we explore the abilities of modern foundation vision language models (VLMs) in interpreting such tests. To …
arxiv covid cs.cv eess.iv flow foundation results tests type
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