Ophthalmology

Development of a robust eye exam diagnosis platform with a deep learning model.

BACKGROUND: Eye exam diagnosis is one of the early detection methods for eye diseases. However, such a method is dependent on expensive and unpredictable optical equipment.

[Express-diagnosis of the diseases of the eye and its appendages by scanning electron microscopy with supravital staining].

This review describes the history of development of a new line of chemical reagents that prompts to significantly reevaluate the application of scanning electron microscopy (SEM) in medical and biological studies, particularly in ophthalmology; considers the establishing of SEM as an analytical method; covers the problems in its application associated with the needs of clinical medicine and the co...

Network Biology and Medicine to Rescue: Applications for Retinal Disease Mechanisms and Therapy.

Inherited retinal degenerations (IRDs) are clinically and genetically heterogenous blinding diseases that manifest through dysfunction of target cells...

Clinical Importance of 3D Volography in Breast Imaging.

The clinical applications of the volography algorithm and concomitant refraction-corrected reflection algorithm as described in Chap. 10 are discussed...

Human Retinal Organoids in Therapeutic Discovery: A Review of Applications.

Human embryonic stem cells (hESCs)- and induced pluripotent stem cells (hiPSCs)-derived retinal organoids (ROs) are three-dimensional laminar structur...

Advancing Diabetic Retinopathy Diagnosis: Leveraging Optical Coherence Tomography Imaging with Convolutional Neural Networks.

Diabetic retinopathy (DR) is a vision-threatening complication of diabetes, necessitating early and accurate diagnosis. The combination of optical coh...

Assessing the Competence of Artificial Intelligence Programs in Pediatric Ophthalmology and Strabismus and Comparing their Relative Advantages.

The aim of the study was to determine the knowledge levels of ChatGPT, Bing, and Bard artificial intelligence programs produced by three different ma...

Hepatic Hydrothorax Without Ascites: A Diagnostic And Management Challenge.

Hepatic hydrothorax refers to the presence of a pleural effusion (usually >500 mL) in a patient with cirrhosis who does not have other reasons to have...

Importance and use of corneal biomechanics and its diagnostic utility.

The study of corneal biomechanics has become relevant in recent years due to its possible applications in the diagnosis, management, and treatment of ...

[A deep-learning model for the assessment of coronary heart disease and related risk factors via the evaluation of retinal fundus photographs].

To develop and validate a deep learning model based on fundus photos for the identification of coronary heart disease (CHD) and associated risk facto...

Light field quality assessment based on aggregation learning of multiple visual features.

Light field imaging is a way to represent human vision from a computational perspective. It contains more visual information than traditional imaging ...

Application of Deep Learning for Automated Detection of Polypoidal Choroidal Vasculopathy in Spectral Domain Optical Coherence Tomography.

OBJECTIVE: To develop an automated polypoidal choroidal vasculopathy (PCV) screening model to distinguish PCV from wet age-related macular degeneratio...

Deep Learning-Based Modeling of the Dark Adaptation Curve for Robust Parameter Estimation.

PURPOSE: This study investigates deep-learning (DL) sequence modeling techniques to reliably fit dark adaptation (DA) curves and estimate their key pa...

Evaluation of Generative Adversarial Networks for High-Resolution Synthetic Image Generation of Circumpapillary Optical Coherence Tomography Images for Glaucoma.

IMPORTANCE: Deep learning (DL) networks require large data sets for training, which can be challenging to collect clinically. Generative models could ...

[Research progress of ophthalmic surgery robots].

Ophthalmic surgery has the characteristics of high precision, small operating range, need of microscopic vision, and sensitive feedback, which put for...

Advances in the diagnosis of herpes simplex stromal necrotising keratitis: A feasibility study on deep learning approach.

PURPOSE: Infectious keratitis, especially viral keratitis (VK), in resource-limited settings, can be a challenge to diagnose and carries a high risk o...

Lensless computational imaging with a hybrid framework of holographic propagation and deep learning.

Lensless imaging has attracted attention as it avoids the bulky optical lens. Lensless holographic imaging is a type of a lensless imaging technique. ...

Etiology of Macular Edema Defined by Deep Learning in Optical Coherence Tomography Scans.

PURPOSE: To develop an automated method based on deep learning (DL) to classify macular edema (ME) from the evaluation of optical coherence tomography...

Motion detection and direction recognition in a photonic spiking neural network consisting of VCSELs-SA.

Motion detection and direction recognition are two important fundamental visual functions among the many cognitive functions performed by the human vi...

The Enactive and Interactive Dimensions of AI: Ingenuity and Imagination Through the Lens of Art and Music.

Dualisms are pervasive. The divisions between the rational mind, the physical body, and the external natural world have set the stage for the successe...