Siamak Yousefi
Overview
Explore the profile of Siamak Yousefi including associated specialties, affiliations and a list of published articles.
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69
Citations
1004
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Recent Articles
11.
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.
12.
Arai Y, Takahashi H, Takayama T, Yousefi S, Tampo H, Yamashita T, et al.
PLoS One
. 2024 Mar;
19(3):e0301467.
PMID: 38551957
The estimation of central choroidal thickness from colour fundus images can improve disease detection. We developed a deep learning method to estimate central choroidal thickness from colour fundus images at...
13.
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...
14.
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...
15.
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:...
16.
Hussain Z, Muayad J, Harvey B, Al-Aswad L, Fakoya A, Yousefi S
Clin Ophthalmol
. 2024 Feb;
18:269-275.
PMID: 38312307
Purpose: To provide a comparative analysis of rates of laser trabeculoplasty (LTP) among eye care providers in the USA. Methods: This retrospective cohort analysis utilized the Centers for Medicare and...
17.
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,...
18.
Huang X, Islam M, Akter S, Ahmed F, Kazami E, Abu Serhan H, et al.
Biomed Eng Online
. 2023 Dec;
22(1):126.
PMID: 38102597
Artificial intelligence (AI) has shown excellent diagnostic performance in detecting various complex problems related to many areas of healthcare including ophthalmology. AI diagnostic systems developed from fundus images have become...
19.
Soleimani M, Esmaili K, Rahdar A, Aminizadeh M, Cheraqpour K, Tabatabaei S, et al.
Sci Rep
. 2023 Dec;
13(1):22200.
PMID: 38097753
Infectious keratitis (IK) is a major cause of corneal opacity. IK can be caused by a variety of microorganisms. Typically, fungal ulcers carry the worst prognosis. Fungal cases can be...
20.
Abdelmotaal H, Hazarbassanov R, Salouti R, Nowroozzadeh M, Taneri S, Al-Timemy A, et al.
Ophthalmol Sci
. 2023 Oct;
4(2):100380.
PMID: 37868800
Objective: To assess the performance of convolutional neural networks (CNNs) for automated detection of keratoconus (KC) in standalone Scheimpflug-based dynamic corneal deformation videos. Design: Retrospective cohort study. Participants: We retrospectively...