Latest AI and machine learning research in ophthalmology for healthcare professionals.
PURPOSE: To investigate the 3-dimensional (3D) topographic remodeling patterns of choroidal thickness (ChT) in the macular region in children, and their associations with age and myopia related ocular growth. DESIGN: Cross-sectional, population-based study. PARTICIPANTS: A total of 3508 children (mean age 13.6 ± 3.0 years, range 7-18 years, 47.7% male). METHODS: Spectral-domain OCT with a 31-horiz...
BACKGROUND: Vision-enabled large language models (VE-LLMs) have the potential to provide flexible and explainable medical image interpretation. However, their real-world performance on clinical data, such as 12-lead electrocardiograms (ECGs), has not been systematically assessed. OBJECTIVE: This study aimed to evaluate the diagnostic accuracy and reliability of state-of-the-art generalist VE-LLMs ...
PURPOSE: To assess for the likely presence of artificial intelligence (AI)-generated text in the published ophthalmology literature. METHODS: Abstract...
The relationship between structural and functional damage in glaucoma, the structure-function relationship, forms the cornerstone of disease assessmen...
BACKGROUND: Suicide is a critical global public health issue, with millions experiencing suicidal ideation (SI) each year. Global estimates suggest th...
BACKGROUND: Despite the human papillomavirus (HPV) vaccine being available to males for the past 12 years, adolescent males continue to lag in HPV vac...
Building a neuromorphic vision sensor capable of signal processing and spike generation is essential for developing hardware tailored to brain-inspire...
Can credibility assessment be based on methods more reliable than those currently used? Traditional polygraph examinations, although widely employed, ...
OBJECTIVE: Given the high alignment between deep learning and blended teaching objectives, blended teaching provides a feasible pathway for achieving ...
Retinal age gap (RAG), defined as the difference between artificial intelligence-predicted retinal age and chronological age derived from fundus photo...
BACKGROUND: Retinal neurodegeneration is an early and independent feature of diabetic retinal disease and has been proposed as a window into the syste...
PURPOSE: To predict the risk of diabetic macular edema (DME) onset and to identify features of the risk subgroups. DESIGN: Population-based observatio...
BACKGROUND: Empirical evidence on how employees across different service domains within a single multi-sector public organization perceive AI adoption...
Traditional reading assessments rely heavily on offline summative outcomes, obscuring the implicit cognitive dynamics of online processing. To render ...
Vertigo is a debilitating vestibular disorder affecting approximately 10-30% of the global population, yet no dedicated computational chemistry study ...
Recent advancements in language models have demonstrated its capacity of context understanding and generative representations. Leveraged by these deve...
Ultrasound localization microscopy (ULM) enables super-resolution imaging of microvascular structures by localizing microbubbles from clutter-filtered...
PURPOSE: To evaluate the ability of ChatGPT-5 to predict long-term anatomical and functional outcomes after full-thickness macular hole (FTMH) surgery...
OBJECTIVE: Recent advances in technology and the impact of COVID-19 have expanded the adoption of digital health. Synchronous collaborative telehealth...
In this issue, the following 4 articles are reviewed by Drs. Mark L. Moster and Deborah I. Friedman, most of which include authors who are members of ...