ABSTRACT: Automatic detection of cognitive distortions from short written text could support large-scale mental-health screening and digital cognitive-behavioural therapy (CBT). Many recent approaches ...

Retinol is widely regarded as the gold standard of anti-aging ingredients, but for those who really know their vitamin A the best retinal serums can be an even more coveted part of a preventive or ...

Abstract: Retinal image segmentation is essential for analyzing retinal structures like vessels and diagnosing retinopathy. However, the inherent intricacy of the retina, along with annotation ...

The Center for Information Technology Research in the Interest of Society (CITRIS) at UC Santa Cruz has selected five student projects for funding through the 2025-26 CITRIS Tech for Social Good ...

Retinal vessel analysis plays a crucial role in the detection and management of various systemic and ocular diseases, such as diabetic retinopathy, hypertension, and cardiovascular disorders. Precise ...

Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...

Abstract: We identify two major limitations in the existing studies on retinal vessel segmentation: (1) Most existing works are restricted to one modality, i.e., the Color Fundus (CF). However, ...

I'm not familiar with core dump analysis, and the core dump is too big to upload. I asked AI to analyze the core dump, and the following are its results (Just tell me if you need other information): ...

Daniela Ferrara, MD, PhD, FASRS, Chief Medical Officer at TopCon Healthcare and retina specialist, discussed AI's transformative role in ophthalmology. She moderated a panel at the OIS Retina event ...