Results 281 to 290 of about 324,734 (337)

Artificial intelligence for glaucoma. [PDF]

open access: yesCochrane Database Syst Rev
Vemulapalli K   +8 more
europepmc   +1 more source

Validation and evaluation of visual acuity and contrast sensitivity with a new digital device: OPTOTAB®+

open access: yesOphthalmic and Physiological Optics, EarlyView.
Abstract Purpose To validate a new digital device: Optotab®+ (SmarThings4Vision) for measuring visual acuity (VA) and contrast sensitivity (CS). Methods A validation study was conducted involving 20 healthy subjects (aged: 18–29 years). Distance and near VA and CS were assessed using the Optotab®+ and compared with the ETDRS test and Sloan letters for ...
Víctor Ponce‐García   +5 more
wiley   +1 more source

Lived experiences and coping strategies of people living with Glaucoma in Nigeria: A qualitative study. [PDF]

open access: yesPLoS One
Ibanga AA   +6 more
europepmc   +1 more source

Frequency of retinal findings after 8 years in the Bifocal Lenses in Nearsighted Kids (BLINK) Study

open access: yesOphthalmic and Physiological Optics, EarlyView.
Abstract Purpose The purpose of the study is to report the frequency of retinal findings in myopic children and determine the association with the amount of myopia or axial length. Design The BLINK study was a myopia control, multi‐centre randomised clinical trial following myopic children with multifocal soft contact lenses. Participants Children aged
Krystal L. Schulle   +44 more
wiley   +1 more source

Glaucoma

open access: yesCleveland Clinic Journal of Medicine, 1949
openaire   +2 more sources

Development and initial validation of DESCAQ: A Rasch‐based computer‐adaptive questionnaire for assessing digital eye strain

open access: yesOphthalmic and Physiological Optics, EarlyView.
Abstract Introduction The purpose of this study was to develop the Digital Eye Strain Computer Adaptive Questionnaire (DESCAQ), a quick, easy‐to‐administer test for measuring digital eye strain in 8‐ to 65‐year‐old Spanish‐ and English‐speaking individuals.
Mariano González‐Pérez   +4 more
wiley   +1 more source

Performance of ChatGPT on optometry and vision science exam questions

open access: yesOphthalmic and Physiological Optics, EarlyView.
Abstract The rapid proliferation of Large Language Models (LLM) tools, such as ChatGPT developed by OpenAI, presents both a challenge and an opportunity for educators. While LLMs can generate convincing written responses across a wide range of academic fields, their capabilities vary noticeably across different models, fields and even sub‐fields.
Nayuta Yoshioka   +5 more
wiley   +1 more source

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