Siamak Yousefi
Overview
Explore the profile of Siamak Yousefi including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
69
Citations
1004
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Soleimani M, Cheung A, Rahdar A, Kirakosyan A, Tomaras N, Lee I, et al.
J Ophthalmic Inflamm Infect
. 2025 Feb;
15(1):8.
PMID: 39946047
Background: Microbial keratitis (MK) poses a substantial threat to vision and is the leading cause of corneal blindness. The outcome of MK is heavily reliant on immediate treatment following an...
2.
Madadi Y, Delsoz M, Lao P, Fong J, Hollingsworth T, Kahook M, et al.
J Neuroophthalmol
. 2025 Jan;
PMID: 39787495
Background: To evaluate the accuracy of Chat Generative Pre-Trained Transformer (ChatGPT), a large language model (LLM), to assist in diagnosing neuro-ophthalmic diseases based on case reports. Methods: We selected 22...
3.
Creating a biomedical knowledge base by addressing GPT inaccurate responses and benchmarking context
Darnell S, Overall R, Guarracino A, Colonna V, Villani F, Garrison E, et al.
bioRxiv
. 2024 Oct;
PMID: 39463999
We created GNQA, a generative pre-trained transformer (GPT) knowledge base driven by a performant retrieval augmented generation (RAG) with a focus on aging, dementia, Alzheimer's and diabetes. We uploaded a...
4.
Raja H, Huang X, Delsoz M, Madadi Y, Poursoroush A, Munawar A, et al.
Ophthalmol Sci
. 2024 Sep;
5(1):100599.
PMID: 39346574
Purpose: To evaluate the capabilities of Chat Generative Pre-Trained Transformer (ChatGPT), as a large language model (LLM), for diagnosing glaucoma using the Ocular Hypertension Treatment Study (OHTS) dataset, and comparing...
5.
Huang X, Poursoroush A, Sun J, Boland M, Johnson C, Yousefi S
J Glaucoma
. 2024 Aug;
33(11):815-822.
PMID: 39092996
Prcis: We developed unsupervised machine learning models to identify different subtypes of patients with ocular hypertension in terms of visual field (VF) progression and discovered 4 subtypes with different trends...
6.
Shareef O, Soleimani M, Tu E, Jacobs D, Ciolino J, Rahdar A, et al.
Ocul Surf
. 2024 Jul;
34:159-164.
PMID: 39084255
Purpose: To develop an artificial intelligence (AI) model to diagnose Acanthamoeba keratitis (AK) based on in vivo confocal microscopy (IVCM) images extracted from the Heidelberg Retinal Tomograph 3 (HRT 3)....
7.
Huang X, Raja H, Madadi Y, Delsoz M, Poursoroush A, Kahook M, et al.
Am J Ophthalmol
. 2024 Jul;
266:322-323.
PMID: 39059602
No abstract available.
8.
Heidari Z, Hashemi H, Sotude D, Ebrahimi-Besheli K, Khabazkhoob M, Soleimani M, et al.
Cornea
. 2024 Jul;
43(10):1310-1318.
PMID: 38984532
Purpose: Clinical diagnosis of dry eye disease is based on a subjective Ocular Surface Disease Index questionnaire or various objective tests, however, these diagnostic methods have several limitations. Methods: We...
9.
Southerland J, Elahi M, Zheng S, Dodson K, Rogers P, Orr A, et al.
South Med J
. 2024 Jun;
117(6):291-295.
PMID: 38830581
Objectives: The purpose of this study was to examine the factors associated with vision impairment (VI), age-related eye disease (ARED), and frequency of eye examinations among older adults. Methods: A...
10.
Huang X, Raja H, Madadi Y, Delsoz M, Poursoroush A, Kahook M, et al.
Am J Ophthalmol
. 2024 Jun;
266:289-299.
PMID: 38823673
Purpose: To investigate the capability of ChatGPT for forecasting the conversion from ocular hypertension (OHT) to glaucoma based on the Ocular Hypertension Treatment Study (OHTS). Design: Retrospective case-control study. Participants:...