Abstract Advances in Artificial Intelligence (AI) have led to the rise of human-AI collaboration.
In healthcare, such collaboration could mitigate the shortage of qualified healthcare workers …

Amblyopia is the most common cause of monocular visual impairment in children, with a
prevalence of 2–3%. Not only is visual acuity reduced in one eye but binocular vision is …

Aim To quantify the impact of prematurity on chromatic discrimination throughout childhood,
from 2 to 15 years of age. Methods We recruited two cohorts of children, as part of the …

Introduction The development of costs-effective and sensitive screening solutions to prevent
amblyopia and identify its risk factors (strabismus, refractive problems or mixed) is a …

Visual assessment in preverbal children mostly relies on the preferential looking paradigm. It
requires an experienced observer to interpret the child's responses to a stimulus. DIVE …

Although steady fixation is a key aspect of a proper visual function, it is only subjectively
assessed in young and uncooperative children. In the present study, we characterize the …

Purpose: To describe emerging applications of machine learning (ML) in pediatric
ophthalmology with an emphasis on the diagnosis and treatment of disorders affecting …

Although color vision deficiencies are very prevalent, there are no ideal methods for
assessing color vision in all environments. We compared a new digital and automated …

Artificial intelligence (AI) technologies have been extensively used in education to improve
the learning experience of students. We are particularly interested in AI in education for …

By the method of documentation and logical analysis, based on the data, based on logic and
based on the knowledge of three kinds of artificial intelligence in the sports education, the …