Search Results - "HALLAK, Joelle"

A Machine Learning Model With Survival Statistics to Identify Predictors of Descemet Stripping Automated Endothelial Keratoplasty Graft Failure by Hallak, Joelle A

Get more information

Depressive Symptoms in Patients With Dry Eye Disease: A Case–Control Study Using the Beck Depression Inventory by Hallak, Joelle A, Tibrewal, Sapna, Jain, Sandeep

“…PURPOSE:To measure depressive symptoms in patients with dry eye disease (DED) and controls using the Beck Depression Inventory (BDI) and to determine the…”
Get full text

Progression of Photoreceptor Degeneration in Geographic Atrophy Secondary to Age-related Macular Degeneration by Pfau, Maximilian, von der Emde, Leon, de Sisternes, Luis, Hallak, Joelle A, Leng, Theodore, Schmitz-Valckenberg, Steffen, Holz, Frank G, Fleckenstein, Monika, Rubin, Daniel L

“…Sensitive outcome measures for disease progression are needed for treatment trials in geographic atrophy (GA) secondary to age-related macular degeneration…”
Get more information

Association between myopia progression and quantity of laser treatment for retinopathy of prematurity by Hwang, Eileen S, Kassem, Iris S, Allozi, Rawan, Kravets, Sasha, Al-Kirwi, Khalid Y, Hallak, Joelle A, Costakos, Deborah M

“…Previous studies found that infants with retinopathy of prematurity (ROP) who were treated for more posterior disease with a greater number of laser spots…”
Get full text

Which OCT parameters can best predict visual field progression in glaucoma? by Sethi, Abhishek, Rashidisabet, Homa, Hallak, Joelle A., Vajaranant, Thasarat Sutabutr

Get full text

Prediction of age-related macular degeneration disease using a sequential deep learning approach on longitudinal SD-OCT imaging biomarkers by Banerjee, Imon, de Sisternes, Luis, Hallak, Joelle A., Leng, Theodore, Osborne, Aaron, Rosenfeld, Philip J., Gregori, Giovanni, Durbin, Mary, Rubin, Daniel

“…We propose a hybrid sequential prediction model called “Deep Sequence”, integrating radiomics-engineered imaging features, demographic, and visual factors,…”
Get full text

Five year outcomes of Boston type I keratoprosthesis as primary versus secondary penetrating corneal procedure in a matched case control study by Kang, Kai B, Karas, Faris I, Rai, Ruju, Hallak, Joelle A, Kang, Joann J, de la Cruz, Jose, Cortina, Maria S

“…Despite improved retention and reduced complication rates paving the way for the current expansion of applications and surge in prevalence for the Boston type…”
Get full text

Imaging, Genetic, and Demographic Factors Associated With Conversion to Neovascular Age-Related Macular Degeneration: Secondary Analysis of a Randomized Clinical Trial by Hallak, Joelle A, de Sisternes, Luis, Osborne, Aaron, Yaspan, Brian, Rubin, Daniel L, Leng, Theodore

“…Risk factors associated with the development of neovascular age-related macular degeneration (AMD) have been identified. However, population size and methods…”
Get more information

Imaging and artificial intelligence for progression of age-related macular degeneration by Romond, Kathleen, Alam, Minhaj, Kravets, Sasha, Sisternes, Luis de, Leng, Theodore, Lim, Jennifer I, Rubin, Daniel, Hallak, Joelle A

“…Age-related macular degeneration (AMD) is a leading cause of severe vision loss. With our aging population, it may affect 288 million people globally by the…”
Get full text

Single Nucleotide Polymorphisms in the BDNF, VDR, and DNASE 1 Genes in Dry Eye Disease Patients: A Case-Control Study by Hallak, Joelle A, Tibrewal, Sapna, Mohindra, Neil, Gao, Xiaoyi, Jain, Sandeep

“…To identify single nucleotide polymorphisms (SNPs) in the brain-derived neurotrophic factor (BDNF), vitamin D receptor (VDR), and DNASE1 genes that may be…”
Get full text

Artificial intelligence in ophthalmology during COVID-19 and in the post COVID-19 era by Hallak, Joelle A., Scanzera, Angelica C., Azar, Dimitri T., Chan, R.V. Paul

“…PURPOSE OF REVIEWTo highlight artificial intelligence applications in ophthalmology during the COVID-19 pandemic that can be used todescribe ocular findings…”
Get full text

External Validation of a Retinopathy of Prematurity Screening Model Using Artificial Intelligence in 3 Low- and Middle-Income Populations by Coyner, Aaron S, Oh, Minn A, Shah, Parag K, Singh, Praveer, Ostmo, Susan, Valikodath, Nita G, Cole, Emily, Al-Khaled, Tala, Bajimaya, Sanyam, K C, Sagun, Chuluunbat, Tsengelmaa, Munkhuu, Bayalag, Subramanian, Prema, Venkatapathy, Narendran, Jonas, Karyn E, Hallak, Joelle A, Chan, R V Paul, Chiang, Michael F, Kalpathy-Cramer, Jayashree, Campbell, J Peter

“…Retinopathy of prematurity (ROP) is a leading cause of preventable blindness that disproportionately affects children born in low- and middle-income countries…”
Get more information

Association between cognitive function and large optic nerve cupping, accounting for cup-disc-ratio genetic risk score by Kravets, Sasha, Rupnow, Rawan Allozi, Sethi, Abhishek, Espeland, Mark A, Pasquale, Louis R, Rapp, Stephen R, Klein, Barbara E, Meuer, Stacy M, Haan, Mary N, Maki, Pauline M, Hallak, Joelle A, Vajaranant, Thasarat Sutabutr

“…To investigate if accounting for a cup-to-disc ratio (CDR) genetic risk score (GRS) modified the association between large CDR and cognitive function among…”
Get full text

Symptom burden of patients with dry eye disease: a four domain analysis by Hallak, Joelle A, Jassim, Sarmad, Khanolkar, Vishakha, Jain, Sandeep

“…To determine which sensory (symptom persistence and intensity) and reactive (activity and affective interference) domains of symptom analysis are essential for…”
Get full text

Novel aspects of corneal angiogenic and lymphangiogenic privilege by Ellenberg, David, Azar, Dimitri T., Hallak, Joelle A., Tobaigy, Faisal, Han, Kyu Yeon, Jain, Sandeep, Zhou, Zhongjun, Chang, Jin-Hong

“…In this article, we provide the results of experimental studies demonstrating that corneal avascularity is an active process involving the production of…”
Get full text

An Association Between Large Optic Cupping and Total and Regional Brain Volume: The Women's Health Initiative by Wang, Catherine, Kravets, Sasha, Sethi, Abhishek, Espeland, Mark A., Pasquale, Louis R., Rapp, Stephen R., Klein, Barbara E., Meuer, Stacy M., Haan, Mary N., Maki, Pauline M., Hallak, Joelle A., Vajaranant, Thasarat Sutabutr

“…To investigate the relationships between optic nerve cupping and total and regional brain volumes. Secondary analysis of randomized clinical trial data. Women…”
Get full text

Retroprosthetic Membrane Formation in Boston Keratoprosthesis: A Case–Control-Matched Comparison of Titanium Versus PMMA Backplate by Talati, Rushi K, Hallak, Joelle A, Karas, Faris I, de la Cruz, Jose, Cortina, M Soledad

“…PURPOSE:Retroprosthetic membrane (RPM) formation is the most common complication after Boston type 1 keratoprosthesis (KPro) implantation. It affects visual…”
Get full text

AI-automated referral for patients with visual impairment by Alam, Minhaj, Hallak, Joelle A

Get full text

Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models by Alam, Minhaj Nur, Yamashita, Rikiya, Ramesh, Vignav, Prabhune, Tejas, Lim, Jennifer I., Chan, R. V. P., Hallak, Joelle, Leng, Theodore, Rubin, Daniel

“…Diabetic retinopathy (DR) is a major cause of vision impairment in diabetic patients worldwide. Due to its prevalence, early clinical diagnosis is essential to…”
Get full text

Direct and Indirect Flap Measurements in Femtosecond Laser–Assisted In Situ Keratomileusis by Crispim, Joao, Allemann, Norma, Hallak, Joelle A, Azar, Dimitri T, De La Cruz, Jose

“…PURPOSE:To compare direct and indirect LASIK flap thickness measurements using ultrasound and Scheimpflug technology. METHODS:Eighty-two eyes treated with…”
Get full text