Latest AI and machine learning research in ophthalmology for healthcare professionals.
Macrophages serve as core effector cells of the innate immune system, exerting dual regulatory roles in pulmonary homeostasis maintenance and disease pathogenesis. Pulmonary macrophages comprise two distinct ontogenetic populations: self-renewing tissue-resident alveolar macrophages and monocyte-derived recruited macrophages under inflammatory conditions. Both populations exhibit remarkable phenot...
PURPOSE: As healthcare business organizations face mounting pressure from civil society to act responsibly, they are expanding and strategically restructuring their CSR activities. Under the umbrella of CSR, cause-related marketing (CRM) campaigns are a means of fundraising available to healthcare firms engaging in socially responsible activities to improve global health. While healthcare organiza...
Unsupervised Domain Adaptation (UDA) has emerged as a pivotal technique for enhancing machine learning models' performance in unlabeled target domains...
A progressive neurological condition, glaucoma is one of the main causes of irreversible blindness in the globe. Early detection is crucial to prevent...
BACKGROUND: Chronic pancreatitis (CP) is a progressive inflammatory disorder characterized by debilitating chronic pain and substantial healthcare bur...
PURPOSE: Artificial intelligence (AI)-based screening models hold promise for identifying individuals with undiagnosed age-related macular degeneratio...
In the era of generative artificial intelligence (AI), translation education is undergoing profound changes, posing new cognitive and emotional challe...
BACKGROUND: Breast cancer causes the largest number of cancer-related deaths among women worldwide. With the aim of improving Positron Emission Tomogr...
AIMS: To assess the diagnostic agreement between an artificial intelligence (AI) system and general practitioners (GPs) interpreting fundus photograph...
Metamorphic testing (MT) provides an effective oracle-free strategy for evaluating deep neural networks under semantics-preserving perturbations. Howe...
PURPOSE: To determine whether a high-quality, prospectively curated dataset can, by itself, enable the development of robust and clinically effective ...
PURPOSE: To evaluate the impact of retinal fluid volumes on the development of atrophy and fibrosis in neovascular age-related macular degeneration (n...
BACKGROUND. Vision-language models (VLMs) have potential to identify findings on radiologic imaging (i.e., visual parsing) and translate findings into...
MRI-guided high-intensity focused ultrasound (MRgHIFU) has emerged as an alternative to other neuromodulatory interventions for patients with medicall...
Refractive index sensing traditionally relies on high-Q resonances in precisely fabricated metastructures, making performance vulnerable to fabricatio...
BACKGROUND/AIMS: Deep learning algorithms have shown promise for glaucoma detection using retinal imaging. The Northern Finland Birth Cohort Eye Study...
In an increasingly specialized medical landscape, Patient Blood Management (PBM) has emerged as a multidisciplinary and ethically grounded approach to...
Accurate measurement of eyelid position is essential for diagnosis and surgical planning in blepharoptosis, but traditional manual assessment using pe...
The capacity to identify, adjust to, and interact with human emotions has become a crucial component of effective art communication in digital and int...
Accurate and reliable fire detection in indoor environments is critical for ensuring timely emergency responses and enhancing safety in both residenti...