DBDS’ Lu Tian will deliver the inaugural keynote Lai Lecture on 3/8 in the 7th International Symposium on Statistical Innovation for Medical Product Development honoring late Tze L. Lai for his contributions in innovative clinical trial design. isbiostat.org.
Daniel L. Rubin in Journal of Clinical Medicine: Segmentation-Assisted Fully Convolutional Neural Network Enhances Deep Learning Performance to Identify Proliferative Diabetic Retinopathy
Abstract
With the progression of diabetic retinopathy (DR) from the non-proliferative (NPDR) to proliferative (PDR) stage, the possibility of vision impairment increases significantly. Therefore, it is clinically important to detect the progression to PDR stage for proper intervention. We propose a segmentation-assisted DR classification methodology, that builds on (and improves) current methods by using a fully convolutional network (FCN) to segment retinal neovascularizations (NV) in retinal images prior to image classification.
Read more here: https://www.mdpi.com/2077-0383/12/1/385
DBDS’ Nigam Shah featured in Becker’s IT story: ‘Bad science fiction’?: How health systems are keeping AI in check
Date: 2/15/24
Speaker: Yuzhe Yang
Title: Learning to Assess Chronic Diseases: Early Diagnosis, Severity, Progression, and Medication Response
More info here



