Ophthalmology

Being watched by a humanoid robot and a human: Effects on affect-related psychophysiological responses.

Eye contact with a humanoid robot has been shown to evoke similar affect and affiliation related psychophysiological responses as eye contact with another human. In this pre-registered study, we investigated whether these effects are dependent on the experience of being "watched". Psychophysiological responses (SCR, zygomatic and corrugator facial EMG, frontal EEG asymmetry) to a humanoid robot's ...

Deep Learning Estimation of 10-2 Visual Field Map Based on Circumpapillary Retinal Nerve Fiber Layer Thickness Measurements.

PURPOSE: To estimate central 10-degree visual field (VF) map from spectral-domain optical coherence tomography (SD-OCT) retinal nerve fiber layer thickness (RNFL) measurements in glaucoma with artificial intelligence.

Health Economic Implications of Artificial Intelligence Implementation for Ophthalmology in Australia: A Systematic Review.

PURPOSE: The health care industry is an inherently resource-intense sector. Emerging technologies such as artificial intelligence (AI) are at the fore...

Semantic Terrain Segmentation in the Navigation Vision of Planetary Rovers-A Systematic Literature Review.

: The planetary rover is an essential platform for planetary exploration. Visual semantic segmentation is significant in the localization, perception,...

A novel combination of corneal confocal microscopy, clinical features and artificial intelligence for evaluation of ocular surface pain.

OBJECTIVES: To analyse various corneal nerve parameters using confocal microscopy along with systemic and orthoptic parameters in patients presenting ...

Bioinspired and Low-Power 2D Machine Vision with Adaptive Machine Learning and Forgetting.

Natural intelligence has many dimensions, with some of its most important manifestations being tied to learning about the environment and making behav...

Efficient and Consistent Generation of Retinal Pigment Epithelium/Choroid Flatmounts from Human Eyes for Histological Analysis.

The retinal pigment epithelium (RPE) and retina are functionally and structurally connected tissues that work together to regulate light perception an...

Digital Twin for a Multifunctional Technology of Flexible Assembly on a Mechatronics Line with Integrated Robotic Systems and Mobile Visual Sensor-Challenges towards Industry 5.0.

A digital twin for a multifunctional technology for flexible manufacturing on an assembly, disassembly, and repair mechatronics line (A/D/RML), assist...

An AI Bill of Rights: Implications for Health Care AI and Machine Learning-A Bioethics Lens.

Completion of disconnective surgery for refractory epilepsy in pediatric patients using robot-assisted MRI-guided laser interstitial thermal therapy.

OBJECTIVE: Since 2007, the authors have performed 34 hemispherotomies and 17 posterior quadrant disconnections (temporoparietooccipital [TPO] disconne...

A multi-feature deep learning system to enhance glaucoma severity diagnosis with high accuracy and fast speed.

Glaucoma is the leading cause of irreversible blindness, and the early detection and timely treatment are essential for glaucoma management. However, ...

Deep learning in acute vertigo diagnosis.

Recent advances in artificial intelligence are transforming healthcare and there are increasing efforts to apply these breakthroughs to the diagnosis ...

Computer Vision and Machine Learning-Based Gait Pattern Recognition for Flat Fall Prediction.

BACKGROUND: Gait recognition has been applied in the prediction of the probability of elderly flat ground fall, functional evaluation during rehabilit...

Accuracy evaluation of hand-eye calibration techniques for vision-guided robots.

Hand-eye calibration is an important step in controlling a vision-guided robot in applications like part assembly, bin picking and inspection operatio...

Development and validation of a deep learning-based laparoscopic system for improving video quality.

PURPOSE: A clear surgical field of view is a prerequisite for successful laparoscopic surgery. Surgical smoke, image blur, and lens fogging can affect...

Feature Tracking and Segmentation in Real Time via Deep Learning in Vitreoretinal Surgery: A Platform for Artificial Intelligence-Mediated Surgical Guidance.

PURPOSE: This study investigated whether a deep-learning neural network can detect and segment surgical instrumentation and relevant tissue boundaries...

Characterizing motion prediction in small autonomous swarms.

The use of robotic swarms has become increasingly common in research, industrial, and military domains for tasks such as collective exploration, coord...

Online eye-movement classification with temporal convolutional networks.

The simultaneous classification of the three most basic eye-movement patterns is known as the ternary eye-movement classification problem (3EMCP). Dyn...

Development and validation of a pixel wise deep learning model to detect cataract on swept-source optical coherence tomography images.

PURPOSE: The diagnosis of cataract is mostly clinical and there is a lack of objective and specific tool to detect and grade it automatically. The goa...

ViSpa (Vision Spaces): A computer-vision-based representation system for individual images and concept prototypes, with large-scale evaluation.

Quantitative, data-driven models for mental representations have long enjoyed popularity and success in psychology (e.g., distributional semantic mode...