Performance of vision language models for optic disc swelling identification on fundus photographs.

Introduction: Vision language models (VLMs) combine image analysis capabilities with large language models (LLMs). Because of their multimodal capabilities, VLMs offer a clinical advantage over image classification models for the diagnosis of optic disc swelling by allowing a consideration of clinical context. In this study, we compare the performance of non-specialty-trained VLMs with different prompts in the classification of optic disc swelling on fundus photographs.

Integrating Clinical Insights via Hierarchical Inference to Predict Conditions in Bilaterally Symmetric Organs.

Substantial progress has been made in developing deep-learning models for clinical diagnosis. While excelling in diagnostics, the broader clinical decision-making process also involves establishing optimal follow-up intervals (TCU), crucial for prognosis and timely treatment. To fully support clinical practice, it is imperative that deep learning models contribute to both initial diagnosis and TCU prediction.

Calciphylaxis in a Middle-Aged Asian Patient: An Unusual Cause of Disc Swelling.

Calciphylaxis resulting in ischemic optic neuropathy secondary to calcification of the central retinal artery is a rare occurrence. Only 12 reports of calciphylaxis resulting in optic neuropathy have been published. While it is important to consider giant cell arteritis (GCA) in cases of acute vision loss with pallid disc swelling, clinicians must also maintain a high index of suspicion of calciphylaxis in a patient with risk factors of hypercalcaemia.