Latest AI and machine learning research in laser surgery for healthcare professionals.
The introduction of new technologies, such as surgical robots, is driving the vision of a connected,...
We propose a weakly supervised 18FFDG PET representation-learning framework for content based medica...
Objective: To develop a low-cost automated cataract severity classification system operating on stan...
Background: Retinal fundus imaging is central to the early diagnosis of sight-threatening conditions...
Sparse autoencoders (SAEs) are the standard for decomposing superposed neural representations into i...
Longitudinal dementia progression prediction is essential for clinical decision-making. However, mod...
Vision loss compromises the quality of life of millions of people worldwide. Currently, vision-resto...
Geographic atrophy (GA) secondary to age-related macular degeneration (AMD) requires precise monitor...
Warm-started diffusion samplers accelerate iterative inference, but it is rarely clear which part of...
Color fundus photography (CFP) is the most common ophthalmic imaging modality for large-scale screen...
Real-time weld-pool perception is critical for closed-loop control in laser wire-feed welding, where...
Purpose: To evaluate the performance of secure cloud-based large language models (LLMs) in extractin...
Background and Aims: Machine learning has shown potential in predicting ablation targets for ventric...
Purpose: To evaluate the efficacy of large language models (LLMs) in extracting medication-related i...
Background: Machine learning models for stroke mortality prediction typically treat each time horizo...
Background. Conventional ICU severity scores - SOFA, qSOFA, and APACHE-II - use additive integer wei...
Background: Store-and-forward teledermatology commonly relies on several patient-submitted photograp...
Mean Deviation (MD) is a critical metric for assessing visual field loss in ophthalmology. While pre...
Background and Purpose: Drug resistant epilepsy (DRE) affects approximately 15 million people worldw...
Purpose: Psychological distress is highly prevalent in glaucoma and is associated with worse adheren...
Background: Machine-learning models based on circulating biomarkers are increasingly used in cardiov...