Ophthalmology

Latest AI and machine learning research in ophthalmology for healthcare professionals.

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Decoding Continuous Tracking Eye Movements from Cortical Spiking Activity.

Eye movements are the primary way primates interact with the world. Understanding how the brain cont...

MIU-Net: Advanced multi-scale feature extraction and imbalance mitigation for optic disc segmentation.

Pathological myopia is a severe eye condition that can cause serious complications like retinal deta...

A novel technique for rapid determination of pressure injury stages using intelligent machine vision.

A developed intelligent machine vision system combined with deep-learning algorithms was attempted t...

Performance of ChatGPT in Ophthalmic Registration and Clinical Diagnosis: Cross-Sectional Study.

BACKGROUND: Artificial intelligence (AI) chatbots such as ChatGPT are expected to impact vision heal...

The influence of neighbor selection on self-organized UAV swarm based on finite perception vision.

Recently, vision-based unmanned aerial vehicle (UAV) swarming has emerged as a promising alternative...

Reduction of Vision-Based Models for Fall Detection.

Due to the limitations that falls have on humans, early detection of these becomes essential to avoi...

Recent advances in the application of artificial intelligence in age-related macular degeneration.

Recent advancements in ophthalmology have been driven by the incorporation of artificial intelligenc...

NeuralFeels with neural fields: Visuotactile perception for in-hand manipulation.

To achieve human-level dexterity, robots must infer spatial awareness from multimodal sensing to rea...

Accuracy of 7 Artificial Intelligence-Based Intraocular Lens Power Calculation Formulas in Extremely Long Caucasian Eyes.

PURPOSE: To compare 7 artificial intelligence (AI)-based intraocular lens (IOL) power calculation fo...

Can computer vision / artificial intelligence locate key reference points and make clinically relevant measurements on axillary radiographs?

PURPOSE: Computer vision and artificial intelligence (AI) offer the opportunity to rapidly and accur...

Teaching deep networks to see shape: Lessons from a simplified visual world.

Deep neural networks have been remarkably successful as models of the primate visual system. One cru...

A Novel Management Challenge in Age-Related Macular Degeneration: Artificial Intelligence and Expert Prediction of Geographic Atrophy.

PURPOSE: The progression of geographic atrophy (GA) secondary to age-related macular degeneration is...

TSOM: Small object motion detection neural network inspired by avian visual circuit.

Detecting small moving objects in complex backgrounds from an overhead perspective is a highly chall...

Pharmacokinetics and metabolism of ketoconazole after single ocular instillation in Sprague-Dawley rats.

BACKGROUND AND PURPOSE: Ketoconazole is limited to its conditioned oral use due to hepatic toxicity....

Do Ophthalmology Journals Have AI Policies for Manuscript Writing?

PURPOSE: To assess the prevalence of artificial intelligence (AI) usage policies in manuscript writi...

Collaboration between clinicians and vision-language models in radiology report generation.

Automated radiology report generation has the potential to improve patient care and reduce the workl...

Machine learning model for age-related macular degeneration based on heavy metals: The National Health and Nutrition Examination Survey 2005 to 2008.

Age-related macular degeneration (AMD) is the leading cause of blindness in older people in develope...

Monitoring poultry social dynamics using colored tags: Avian visual perception, behavioral effects, and artificial intelligence precision.

Artificial intelligence (AI) in animal behavior and welfare research is on the rise. AI can detect b...

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