Jalili Jalil

Jalili Jalil, Huynh Justin, Walker Evan, Chuter Benton Gabriel, Bowd Christopher, Heinke Anna et al.

Fine-tuned vision-language models effectively detected glaucoma and predicted visual field loss from OCT images, showing promise for scalable AI decision support in glaucoma care, matching or exceeding specialized models.

Belghith Akram, Bowd Christopher, Weinreb Robert N, Jalili Jalil, Christopher Mark, Zangwill Linda M

3D deep learning models accurately detect glaucoma, outperforming GCIPL thickness. Cross-domain models, using synthetic data, perform similarly, suggesting broader applicability across different OCT devices.

Huang Alex S, Jalili Jalil, Walker Evan, Weinreb Robert N, Laurie Steven S, Macias Brandon R et al.

AI models predicted Spaceflight Associated Neuro-Ocular Syndrome (SANS) from pre-flight OCT scans with moderate-to-high accuracy, suggesting early detection is possible and supporting bedrest as a SANS model.

Jalili Jalil, Jiravarnsirikul Anuwat, Bowd Christopher, Chuter Benton, Belghith Akram, Goldbaum Michael H et al.

GPT-4V analyzed fundus images for glaucoma detection and features. It showed promise, with variable agreement to experts, suggesting potential for screening but needing refinement for clinical use.

Jalili Jalil, Nadimi Mohadeseh, Jafari Behzad, Esfandiari Amirreza, Sadeghi Reza, Ghahari Parichehr et al.

Machine learning analyzing OCTA vessel density features demonstrated excellent performance in detecting glaucoma, including early stages, offering a promising diagnostic tool.

Sawaspadungkij Monchanok, Apinyawasisuk Supanut, Suwan Yanin, Aghsaei Fard Masoud, Sahraian Alireza, Jalili Jalil et al.

This study found poor agreement in RPC density measurements across four OCTA devices. Clinically, this means patients must be monitored for glaucoma progression using the same OCTA device.

Fard Masoud Aghsaei, Sahraiyan Alireza, Jalili Jalil, Hejazi Marjane, Suwan Yanin, Ritch Robert et al.

OCT-A's whole image and nasal peripapillary capillary density can differentiate true papilledema from pseudopapilledema, offering a new diagnostic tool for optic disc swelling.