Yeganeh Madadi
Overview
Explore the profile of Yeganeh Madadi including associated specialties, affiliations and a list of published articles.
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Articles
13
Citations
60
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0
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Recent Articles
1.
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...
2.
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...
3.
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.
4.
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:...
5.
Delsoz M, Raja H, Madadi Y, Tang A, Wirostko B, Kahook M, et al.
Ophthalmol Ther
. 2024 Apr;
13(6):1817-1819.
PMID: 38637436
No abstract available.
6.
Raja H, Munawar A, Mylonas N, Delsoz M, Madadi Y, Elahi M, et al.
JMIR Form Res
. 2024 Mar;
8:e52462.
PMID: 38517457
Background: In this paper, we present an automated method for article classification, leveraging the power of large language models (LLMs). Objective: The aim of this study is to evaluate the...
7.
Madadi Y, Abu-Serhan H, Yousefi S
Biomed Signal Process Control
. 2024 Mar;
92.
PMID: 38463435
The main factor causing irreversible blindness is glaucoma. Early detection greatly reduces the risk of further vision loss. To address this problem, we developed a domain adaptation-based deep learning model...
8.
Delsoz M, Madadi Y, Raja H, Munir W, Tamm B, Mehravaran S, et al.
Cornea
. 2024 Feb;
43(5):664-670.
PMID: 38391243
Purpose: The aim of this study was to assess the capabilities of ChatGPT-4.0 and ChatGPT-3.5 for diagnosing corneal eye diseases based on case reports and compare with human experts. Methods:...
9.
Madadi Y, Delsoz M, Khouri A, Boland M, Grzybowski A, Yousefi S
Curr Opin Ophthalmol
. 2024 Jan;
35(3):238-243.
PMID: 38277274
Purpose Of Review: Recent advances in artificial intelligence (AI), robotics, and chatbots have brought these technologies to the forefront of medicine, particularly ophthalmology. These technologies have been applied in diagnosis,...
10.
Madadi Y, Delsoz M, Lao P, Fong J, Hollingsworth T, Kahook M, et al.
medRxiv
. 2023 Oct;
PMID: 37781591
Purpose: To evaluate the efficiency of large language models (LLMs) including ChatGPT to assist in diagnosing neuro-ophthalmic diseases based on case reports. Design: Prospective study. Subjects Or Participants: We selected...