Deep learning, oculomics, explainable AI, and the future of retinal imaging — written by a clinician who builds and deploys these systems.
Deep learning, oculomics, explainable AI, and the future of retinal imaging — written by a clinician who builds and deploys these systems. Content is in development — follow on social media for launch updates.
Follow on YouTubeA practical explanation of the retinal foundation model — pre-training, transfer learning, and LoRA fine-tuning for downstream clinical tasks.
How retinal imaging is being used to predict systemic disease — from cardiovascular risk to neurodegenerative markers.
Why model interpretability matters, and how Grad-CAM and attention maps make AI decisions understandable.