David N Younessi
Overview
Explore the profile of David N Younessi including associated specialties, affiliations and a list of published articles.
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Articles
7
Citations
20
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Recent Articles
1.
Eyes on the Text: Assessing Readability of AI & Ophthalmologist Responses to Patient Surgery Queries
Kurapati S, Barnett D, Yaghy A, Sabet C, Younessi D, Nguyen D, et al.
Ophthalmologica
. 2025 Mar;
:1-18.
PMID: 40064147
Introduction: Generative artificial intelligence (AI) technologies like GPT-4 can instantaneously provide health information to patients; however, the readability of these outputs compared to ophthalmologist-written responses is unknown. This study aims...
2.
Lin J, Kurapati S, Younessi D, Scott I, Gong D
Med Sci Educ
. 2024 Apr;
34(2):331-333.
PMID: 38686158
Purpose: We examined the performance of artificial intelligence chatbots on the PREview Practice Exam, an online situational judgment test for professionalism and ethics. Methods: We used validated methodologies to calculate...
3.
Hekmatjah N, Kumar A, Yu Y, Younessi D, Han Y, Ying G, et al.
J Glaucoma
. 2024 Apr;
33(7):499-504.
PMID: 38647372
Prcis: Children with glaucoma had an average of 1.3 visual field tests per year. Self-reported black and multiracial patients had lower visual field testing rates, whereas older children with better...
4.
Younessi D, Lin J, Janetos T
JAMA Ophthalmol
. 2023 Nov;
141(12):1105-1106.
PMID: 37917092
No abstract available.
5.
Lin J, Younessi D, Greenberg P
Acad Med
. 2023 Oct;
99(2):126-127.
PMID: 37903356
No abstract available.
6.
Younessi D, Lin J, Neman S, Kurapati S, Scott I, Janetos T
Eye (Lond)
. 2023 Oct;
38(5):1012-1013.
PMID: 37828132
No abstract available.
7.
Lin J, Younessi D, Kurapati S, Tang O, Scott I
Eye (Lond)
. 2023 May;
37(17):3694-3695.
PMID: 37156862
No abstract available.
8.
Younessi D, Lin J, Greenberg P, French D
Clinicoecon Outcomes Res
. 2022 Sep;
14:601-606.
PMID: 36111322
Purpose: The purpose of this study is to investigate demographic and hospital characteristics that predict hospital price transparency in the United States. Methods: We identified 6214 hospitals and extracted characteristics...