Ready for testing artificial intelligence in radiology clinical practice: We would do well to be in the front line leveraging their strengths but also highlighting today weaknesses

• by Benjamin Bender

• September 22, 2023

Solving the Data Challenge in Ophthalmic AI

At ARVO, Cecilia S. Lee, MD, MS, and Aaron Y. Lee, MD, MSCI, discuss barriers to AI deployment in ophthalmology, including interoperability and model development.

• by Cecilia S. Lee, MD, MS, Aaron Y. Lee, MD, MSCI

• May 1, 2026

• 4 min

Retinal Age Model Tied to Disease Risk

Fundus-based tool estimates biologic aging but shows modest gains over prior models

• by Andrea Surnit

• May 1, 2026

• 4 min

Multi-modal dataset creation for federated learning with DICOM-structured reports

• by Malte Tölle, Lukas Burger, Halvar Kelm, Florian André, Peter Bannas, Gerhard Diller, Norbert Frey, Philipp Garthe, Stefan Groß, Anja Hennemuth, Lars Kaderali, Nina Krüger, Andreas Leha, Simon Martin, Alexander Meyer, Eike Nagel, Stefan Orwat, Clemens Scherer, Moritz Seiffert, Jan Moritz Seliger, Stefan Simm, Tim Friede, Tim Seidler, Sandy Engelhardt

• February 3, 2025