Andrew Morgenstern: Where Is Eye Care Going With AI?
Andrew Morgenstern, Optometrist at Defense Health Agency, Member Board of Trustees at New England College of Optometry, shared a post on LinkedIn about a recent article by Tamir Denis et al., published in npj Digital Medicine, adding:
“Where is eye care going with AI?
This is pretty incredible. Able to identify anemia from non-invasive predictive images of conjunctival blood vessels in over 80% of 224 patients via Hb levels and RBC counts through bulbar conjunctiva videos taken with an RGB camera.
Video-to-Vessels, a computer-vision pipeline that converts high-magnification videos of bulbar conjunctiva capillaries into low-dimensional spatiotemporal vessel representations, reducing video dimensionality by approximately 200-fold while preserving hemodynamic information.
These representations feed VesselNet, a multi-instance regression network that encodes each vessel with a modified ConvNeXt backbone, fuses vessel-specific thickness via cross-attention, and predicts blood biomarkers from concatenated embeddings.
On a cohort of 224 participants with paired laboratory counts, VesselNet achieves a hemoglobin-based anemia ROC-AUC of 82.8% and a Spearman’s ρ of 0.47, while attaining a ρ of 0.46 for red-blood-cell (RBC) count regression.”
Title: Towards noninvasive blood count using a deep learning pipeline from bulbar conjunctiva videos
Authors: Tamir Denis, Ifat Sher, Emily Praisman, Marian Haiadry, Amir Zag, Ohad Benjamini, Abraham Avigdor, Keren Asraf, Ram Doolman, Lior Wolf, Haim Suchowski, Ygal Rotenstreich
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