Generative artificial intelligence in ophthalmology: current innovations, future applications and challenges
The rapid advancements in generative artificial intelligence are set to significantly influence
the medical sector, particularly ophthalmology. Generative adversarial networks and …
the medical sector, particularly ophthalmology. Generative adversarial networks and …
Foundation models in ophthalmology: opportunities and challenges
Overall, foundation models in ophthalmology present promising opportunities but face
challenges, particularly the need for high-quality, standardized datasets for training and …
challenges, particularly the need for high-quality, standardized datasets for training and …
A New Foundation Model for Multimodal Ophthalmic Images: Advancing Disease Detection and Prediction
Foundation models are a powerful tool in ophthalmology for building generalizable systems
that can be efficiently applied to a range of ocular and systemic health tasks. A new …
that can be efficiently applied to a range of ocular and systemic health tasks. A new …
The critical need for an open medical imaging database in Japan: implications for global health and AI development
D Ueda, S Walston, H Takita, Y Mitsuyama… - Japanese Journal of …, 2024 - Springer
Japan leads OECD countries in medical imaging technology deployment but lacks open,
large-scale medical imaging databases crucial for AI development. While Japan maintains …
large-scale medical imaging databases crucial for AI development. While Japan maintains …
Detecting Risky Alcohol Use with Natural Language Processing and Computable Phenotypes in Clinical Records
K Weber - 2024 - deepblue.lib.umich.edu
Alcohol use is common throughout the United States. Alcohol Use Disorder (AUD) is
estimated to affect 12-14% of the US population, and has destructive impacts on the physical …
estimated to affect 12-14% of the US population, and has destructive impacts on the physical …