SLIViT -New AI model efficiently reaches clinical-expert-level accuracy in complex medical scans. Nature Biomedical Engineering By UCLA_Computational Medicine Doheny Eye Institute UCLA Samueli Engineering UCLA Health Eran Halperin , SriniVas R. Sadda, MD, Oren Avram uclahealth.org/news/release/n…

An #AI model assessing CT, MRI, retinal OCT, cardiac echo volumetric images "as accurate as clinical specialists who had spent considerable time [almost four orders of magnitude faster] manually annotating the analysed scans" nature.com/articles/s4155… @NatBME Oren Avram

Researchers at UCLA have developed a new deep-learning AI framework called SLIViT that can quickly analyze complex medical scans including MRIs and 3D medical images which consistently performs at a level comparable to clinical specialists across various types of medical imaging.

Researchers Eran Halperin and Oren Avram at #UCLA have developed a new, #AI-powered foundation model that can accurately analyze #3D medical imagery, like MRIs and CT scans, in a fraction of the time it would otherwise take a human expert. ➡️ developer.nvidia.com/blog/ai-medica… The model

UCLA just unveiled SLIViT, an AI model that analyzes 3D medical images faster and cheaper than human experts. Key points: 1️⃣ Analyzes MRIs, CTs, and more in a fraction of the time. 2️⃣ Detects disease markers across multiple scan types 3️⃣ Outperforms other models, making

📣📣📣 Thrilled to speak at CU Anschutz Medical Campus about potential avenues to tackle pressing challenges in research and care using #AI. I’ll be for a few days so if you’re in the area, hit me up!