Raphael Judkiewicz, Adi Shaked, Nomi Friedmann, Doron Hanuka, Joel Hanhart and Joachim A Behar URL: https://iopscience.iop.org/article/10.1088/3049-477X/ae5aa5 Can the eye help detect stroke risk? A new AIMLab study explores carotid stenosis detection from routine retinal imaging At AIMLab at the Technion, we are interested in how artificial intelligence can turn routine medical data into meaningful clinical insight. In our latest study, we explored a simple but powerful que

By Raphael Judkiewicz, Eran Berkowitz, Meishar Meisel, Tomer Michaeli & Joachim A. Behar We’re excited to share our new publication, “Shifting the retinal foundation models paradigm from slices to volumes for optical coherence tomography,” now available in npj Digital Medicine. URL: https://www.nature.com/articles/s41746-026-02496-7 Optical coherence tomography, or OCT, is one of the most important imaging tools in ophthalmology. It gives clinicians a detailed cross-sectiona

Published in Machine Learning: Health https://iopscience.iop.org/article/10.1088/3049-477X/ae4984 By Renee Zacharowicz, Yevgeniy A Men, Luis Filipe Nakayama and Joachim A Behar Research overview: Open retinal fundus image datasets have been a gift to the diabetic retinopathy (DR) community—but they come with a catch: the labels are often inconsistent, noisy, or simply wrong. And when your goal is fine-grained DR staging  (not just “disease vs. no disease”), label noise can qu

By Márton Áron Goda, Arie Oksenberg, Ali Azarbarzin and Joachim A Behar Publication: https://iopscience.iop.org/article/10.1088/1361-6579/ae3ef0/meta Pyppg toolbox used in the analysis: https://pyppg.readthedocs.io/en/latest/ Can a smartwatch tell the difference between apnea and hypopnea? Wearables already track heart rate, sleep timing, and sometimes even blood oxygen. But obstructive sleep apnea (OSA) isn’t just “events happened” vs. “events didn’t happen”—there are differ

By Benjamin A Cohen, Jonathan Fhima, Meishar Meisel, Baskin Meital, Luis Filipe Nakayama, Eran Berkowitz and Joachim A Behar URL: https://iopscience.iop.org/article/10.1088/1361-6579/ae3936 Part of the Lirot.ai project: https://www.aimlab-technion.com/lirot-ai Do we really need “retina-only” foundation models to detect AMD? Age-related macular degeneration (AMD) is a leading cause of irreversible vision loss, and scaling reliable screening from routine retinal photos (digit