Chen Jimmy S

Wedekind Lauren E, Chen Jimmy S, Sestak Timothy, Sigua Logan H, Yap Jazmyn M, Lin Sidney et al.

This study found substantial delays and missed appointments in ophthalmic care for incarcerated/detained patients, highlighting significant disparities and the need to improve access and follow-up for these vulnerable populations.

Marra Kyle V, Chen Jimmy S, Nudleman Eric, Robbins Shira L

Anti-VEGF revolutionized ROP treatment, but challenges like persistent avascular retina and long-term complications remain. AI and telemedicine offer hope for improved screening and outcomes globally.

Chen Jimmy S, Korn Bobby S, Carey Andrew R, Savino Peter J

This case highlights neurosarcoidosis as a cause of severe vision loss and optic disc edema, emphasizing that biopsy can reveal treatable granulomatous inflammation, even if vision doesn't recover.

Chen Jimmy S, Baxter Sally L, van den Brandt Astrid, Lieu Alexander, Camp Andrew S, Do Jiun L et al.

This study found ophthalmologists generally accept an AI tool predicting glaucoma visual field progression as useful, though less for severe cases, suggesting potential for integrating AI into clinical decision-making.

Chen Jimmy S, Lin Wei-Chun, Yang Sen, Chiang Michael F, Hribar Michelle R

Researchers created a de-identified, open-source dataset of glaucoma medication details from 480 clinical notes. This valuable resource can advance AI and "big data" research in ophthalmology.

Chen Jimmy S, Lin Wei-Chun, Kaluzny Joel V, Chen Aiyin, Chiang Michael F, Hribar Michelle R

Lin Wei-Chun, Chen Jimmy S, Chiang Michael F, Hribar Michelle R

AI applied to ophthalmology EHR data improves diagnosis, risk, and progression prediction for diseases like glaucoma, leveraging multimodal data for better patient care.