Ophthalmology

Linking disease activity with optical coherence tomography angiography in neovascular age related macular degeneration using artificial intelligence.

To investigate quantitative associations between AI-assessed disease activity and optical coherence ...

A novel approach for automatic classification of macular degeneration OCT images.

Age-related macular degeneration (AMD) and diabetic macular edema (DME) are significant causes of bl...

Manipulating and measuring variation in deep neural network (DNN) representations of objects.

We explore how DNNs can be used to develop a computational understanding of individual differences i...

Enhancing online cataract surgery patient education materials through artificial intelligence.

OBJECTIVE: To assess the feasibility of using artificial intelligence (AI) to improve readability of...

Infants' psychophysiological responses to eye contact with a human and with a humanoid robot.

Eye contact with a human and with a humanoid robot elicits attention- and affect-related psychophysi...

Upholding artificial intelligence transparency in ophthalmology: A call for collaboration between academia, industry, and government for patient care in the 21st century.

Altered dynamic large-scale brain networks and combined machine learning in primary angle-closure glaucoma.

Primary angle-closure glaucoma (PACG) is a severe and irreversible blinding eye disease characterize...

Predicting tremor improvement after MRgFUS thalamotomy in essential tremor from preoperative spontaneous brain activity: A machine learning approach.

Magnetic resonance-guided focused ultrasound surgery (MRgFUS) thalamotomy is an emerging technique f...

An automatic glaucoma grading method based on attention mechanism and EfficientNet-B3 network.

Glaucoma infection is rapidly spreading globally and the number of glaucoma patients is expected to ...

Current Status, Hotspots, and Prospects of Artificial Intelligence in Ophthalmology: A Bibliometric Analysis (2003-2023).

PURPOSE: Artificial intelligence (AI) has gained significant attention in ophthalmology. This paper ...

Artificial intelligence applications in ophthalmic surgery.

PURPOSE OF REVIEW: Technologies in healthcare incorporating artificial intelligence tools are experi...

What the trained eye cannot see: Quantitative kinematics and machine learning detect movement deficits in early-stage Parkinson's disease from videos.

BACKGROUND: Evaluation of disease severity in Parkinson's disease (PD) relies on motor symptoms quan...

Primate eye tracking with carbon-nanotube-paper-composite based capacitive sensors and machine learning algorithms.

BACKGROUND: Accurate real-time eye tracking is crucial in oculomotor system research. While the scle...

User Evaluation of a Shared Robot Control System Combining BCI and Eye Tracking in a Portable Augmented Reality User Interface.

This study evaluates an innovative control approach to assistive robotics by integrating brain-compu...

The face inversion effect through the lens of deep neural networks.

Applying masked autoencoder-based self-supervised learning for high-capability vision transformers of electrocardiographies.

The generalization of deep neural network algorithms to a broader population is an important challen...

Latest developments of generative artificial intelligence and applications in ophthalmology.

The emergence of generative artificial intelligence (AI) has revolutionized various fields. In ophth...

SmartDetector: Automatic and vision-based approach to point-light display generation for human action perception.

Over the past four decades, point-light displays (PLD) have been integrated into psychology and psyc...

Real-world evaluation of RetCAD deep-learning system for the detection of referable diabetic retinopathy and age-related macular degeneration.

CLINICAL RELEVANCE: The challenges of establishing retinal screening programs in rural settings may ...

Pupillometry as a biomarker of postural control: Deep-learning models reveal side-specific pupillary responses to increased intensity of balance tasks.

Pupillometry has been used in the studies of postural control to assess cognitive load during dual t...

Early () Leaf-Based Disease Detection through Computer Vision, YOLOv8, and Contrast Stretching Technique.

() trees play a vital role in various industries and in environmental sustainability. They are wide...