This
hCalendar-compliant page
is optimized for search engines. View this calendar as published at
imds.uw.edu.
Journal Club: Development and validation of a deep learning model to predict visual and anatomical prognosis of anti-VEGF therapy for neovascular age-related macular degeneration (KongMing Study): a prospective, nationwide, multicentre study
Development and validation of a deep learning model to predict visual and anatomical prognosis of anti-VEGF therapy for neovascular age-related macular degeneration (KongMing Study): a prospective, nationwide, multicentre study, Background
The financial burden and the uncertain response of the anti-vascular endothelial growth factor (anti-VEGF) treatment often cause hesitation among patients with neovascular age-related macular degeneration (nAMD), highlighting the need for a reliable method to predict treatment outcomes. We aimed to develop and validate a deep learning model that can predict the visual and anatomical prognosis of patients with nAMD undergoing anti-VEGF therapy.
Methods
This prospective, nationwide, multicentre study involved 18 tertiary referral hospitals from 12 provinces across China. A large dataset of patients (aged 50–85 years) with nAMD treated with anti-VEGF therapy (Conbercept, 0·5 mg/0·05 mL, Chengdu, China) under a 3+PRN regimen was established. All participants underwent…
Event interval: Single day event. Online Meeting Link: https://washington.zoom.us/j/92158637394?pwd=pi87aK9LVz5Jx7KTPgVq0SX7d2xNIL.1. Campus room: F107, 750 Republican St. Seattle 98109. Accessibility Contact: imds@uw.edu. Event Types: Academics. Meetings. Lectures/Seminars. Target Audience: Data Scientists and Medical Data Scientists.
Monday, September 21, 2026, 1:00 PM – 2:00 PM.
For more info visit washington.zoom.us.