Jennifer Ding

Real-World Prospective Validation and Economic Evaluation of Deep Learning– Based Diabetic Retinopathy Detection From Fundus Photographs: A Systematic Review and Meta-analysis

An Ran Ran, Jennifer Ding, Ziqi Tang, Ching Lam et autres

BACKGROUND: Deep learning (DL) has shown promise in delivering diagnostic and economic benefits for detecting diabetic retinopathy (DR) from fundus photographs (FPs). However, evidence synthesis of model validation in prospective, real-world settings remains limited. PURPOSE: To assess the feasibility of implementing DL-DR …

hk, gb, cn, sg (code pays fourni par la source)

Diurnal Variability of Human Tear Volume and Production Rate: An Exploratory Study

K. Dorothy, Ge Yang, Alisa K. Molina, Helen Tasho et autres

Purpose: The purpose of this study was to compare the diurnal patterns of tear meniscus height (TMH), traditional Schirmer strip test (TSST) wetted length, modified Schirmer strip test (MSST) wetted length, and tear aqueous production (TAP) rate. Methods: One hundred fourteen subjects …

us (code pays fourni par la source)

Tear aqueous production rate between symptomatic and asymptomatic soft contact lens wearers

Alisa K. Molina, Helen Tasho, Ge Yang, Jennifer Ding et autres

SIGNIFICANCE: This study demonstrates that asymptomatic habitual soft contact lens (CL) wearers have lower tear aqueous production (TAP) rates compared with non-lens wearers, while symptomatic wearers have higher rates than those of asymptomatic wearers. These findings suggest that the impact of soft …

de, us (code pays fourni par la source)

Pre‐wetted modified Schirmer’s tear test to determine lacrimal tear‐production rate from severe lacrimal‐gland dysfunction patients

Young Hyun Kim, Sarah M. Chang, Jennifer Ding, Meng C. Lin et autres

SIGNIFICANCE: To determine basal tear-production rates from low tear-producing patients, we present a prewetted modified Schirmer's tear test (PW-MSTT). The improved method is an extension of the MSTT that provides a reliable method to investigate the relation between dry-eye symptoms and basal …

de, us (code pays fourni par la source)

Artificial intelligence models utilize lifestyle factors to predict dry eye related outcomes

Andrew D. Graham, Jiayun Wang, Tejasvi Kothapalli, Jennifer Ding et autres

The purpose of this study is to examine and interpret machine learning models that predict dry eye (DE)-related clinical signs, subjective symptoms, and clinician diagnoses by heavily weighting lifestyle factors in the predictions. Machine learning models were trained to take clinical assessments …

us (code pays fourni par la source)

A machine learning approach to predicting dry eye-related signs, symptoms and diagnoses from meibography images

Andrew D. Graham, Tejasvi Kothapalli, Jiayun Wang, Jennifer Ding et autres

Purpose: To use artificial intelligence to identify relationships between morphological characteristics of the Meibomian glands (MGs), subject factors, clinical outcomes, and subjective symptoms of dry eye. Methods: A total of 562 infrared meibography images were collected from 363 subjects (170 contact lens …

us (code pays fourni par la source)

Artificial Intelligence Models Utilize Lifestyle Factors to Predict Dry Eye-Related Outcomes

Andrew D. Graham, Jiayun Wang, Tejasvi Kothapalli, Jennifer Ding et autres

us (code pays fourni par la source)

Performance of Artificial Intelligence in Detecting Diabetic Macular Edema from Fundus Photographs and Optical Coherence Tomography Images: A Systematic Review and Meta-analysis

Ching Wan Lam, Yiu Lun WONG, Ziqi Tang, Xiaoyan Hu et autres

Background: Diabetic macular edema (DME) is the leading cause of vision loss in people with diabetes. Application of artificial intelligence (AI) in interpreting fundus photographs (FPs) and optical coherence tomography (OCT) images allows prompt detection and intervention. Purpose: To evaluate the performance …

Performance of Artificial Intelligence in Detecting Diabetic Macular Edema from Fundus Photographs and Optical Coherence Tomography Images: A Systematic Review and Meta-analysis

Ching Wan Lam, Yiu Lun WONG, Ziqi Tang, Xiaoyan Hu et autres

Background: Diabetic macular edema (DME) is the leading cause of vision loss in people with diabetes. Application of artificial intelligence (AI) in interpreting fundus photographs (FPs) and optical coherence tomography (OCT) images allows prompt detection and intervention. Purpose: To evaluate the performance …

Ocular surface cooling rate associated with tear film characteristics and the maximum interblink period

Jennifer Ding, Young Hyun Kim, Sarah M Yi, Andrew D. Graham et autres

The surface of the human eye is covered with a protective tear film that refreshes with each blink. Natural blinking occurs involuntarily, but one can also voluntarily blink or refrain from blinking. The maximum time one can refrain from blinking until the …

us (code pays fourni par la source)

Ocular Surface Cooling Rate Associated With Tear Film Characteristics and the Maximum Interblink Period

Jennifer Ding, Young Hyun Kim, Sarah M Yi, Andrew D. Graham et autres

Abstract The surface of the human eye is covered with a protective tear film that refreshes with each blink. Natural blinking occurs involuntarily, but one can also voluntarily blink or refrain from blinking. The maximum time one can refrain from blinking until …

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Relationships between tear-film characteristics and maximum inter-blink period in eyes with and without ocular surface cooling

Jennifer Ding, Young Hyun Kim, Andrew D. Graham, Sarah M Yi et autres

us (code pays fourni par la source)