Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Hyunmin Ahn"'
Autor:
Do Young Kim, Hyunmin Ahn, Sukyung Lee, Ikhyun Jun, Kyoung Yul Seo, Sang Yeop Kim, Tae-Im Kim
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract This prospective single-arm study aimed to evaluate the clinical efficacy and safety of a refractive multifocal contact lens for the correction of presbyopia in 22 patients. The participants underwent clinical examinations before and 1 week
Externí odkaz:
https://doaj.org/article/8051af85429644938aeca27cf47d16d8
Autor:
Ella SeoYeon Park, Hyunmin Ahn, Sung Uk Han, Ikhyun Jun, Kyoung Yul Seo, Eung Kweon Kim, Tae-im Kim
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Modified monovision—or “mini-monovision”—is an alternative method to multifocal intraocular lenses (IOLs) for treating presbyopia. This study aimed to evaluate the clinical outcomes of patients bilaterally implanted with the new enha
Externí odkaz:
https://doaj.org/article/1636bd593c3c4efcad6655ab5c773202
Autor:
Hyunjean Jung, Sung Uk Han, Sangyeop Kim, Hyunmin Ahn, Ikhyun Jun, Hyung Keun Lee, Kyoung Yul Seo, Tae-im Kim
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-8 (2022)
Abstract This study investigated the reliability and correlation of two contrast sensitivity test (CST) devices in young adults with normal visual acuity, with or without refractive surgery. 57 patients aged 20–39 years who received both manual (OP
Externí odkaz:
https://doaj.org/article/7f880991b96b413aa798b78f96a7cb2e
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-7 (2022)
Abstract Cataract is the leading cause of blindness worldwide, and advanced cataract techniques such as femtosecond laser-assisted cataract surgery (FLACS) have been commercially available. Corneal refractive surgery (CRS) is one of the most popular
Externí odkaz:
https://doaj.org/article/0fc1924c2d3c400186ef48a49cb0285a
Autor:
Sung Uk Han, Soyoung Ryu, Hyunjean Jung, Hyunmin Ahn, Sangyeop Kim, Ikhyun Jun, Kyoung Yul Seo, Tae-im Kim
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract To investigate keratometric measurements according to axial length in an aged population. Patients requiring cataract surgery with keratometric measurements from four different ophthalmic devices (autorefractor/keratometer, Scheimpflug imagi
Externí odkaz:
https://doaj.org/article/5419aa385a5449d98290f264a4889592
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
PurposeTo evaluate the value of artificial intelligence (AI) for recommendation of pupil dilation test using medical interview and basic ophthalmologic examinations.DesignRetrospective, cross-sectional study.SubjectsMedical records of 56,811 patients
Externí odkaz:
https://doaj.org/article/038ecd2118964bf59424f05684daee4f
Autor:
Hyunmin Ahn, Na Eun Kim, Jae Lim Chung, Young Jun Kim, Ikhyun Jun, Tae-im Kim, Kyoung Yul Seo
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
BackgroundCorneal topography is a clinically validated examination method for keratoconus. However, there is no clear guideline regarding patient selection for corneal topography. We developed and validated a novel artificial intelligence (AI) model
Externí odkaz:
https://doaj.org/article/4450918a87b0463281ad6de3ed4fa407
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
PurposeTo assess the effects of femtosecond laser arcuate keratotomy with femtosecond laser-assisted cataract surgery in the management of corneal astigmatism, compared with conventional phacoemulsification cataract surgery.DesignRetrospective compar
Externí odkaz:
https://doaj.org/article/51c70959d81548c094f85890db27577c
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
PurposeTo investigate an artificial intelligence (AI) model performance using multi-source anterior segment optical coherence tomographic (OCT) images in estimating the preoperative best-corrected visual acuity (BCVA) in patients with senile cataract
Externí odkaz:
https://doaj.org/article/770d45c1ae9540578a604dbacb66f532
Autor:
Hyunmin Ahn
Publikováno v:
BMJ Open, Vol 10, Iss 7 (2020)
Objectives We investigated the usefulness of machine learning artificial intelligence (AI) in classifying the severity of ophthalmic emergency for timely hospital visits.Study design This retrospective study analysed the patients who first visited th
Externí odkaz:
https://doaj.org/article/9b7fac39a9844063b582fdc2d2e858c7