Results 91 to 100 of about 2,780,590 (362)
Deep Learning Algorithm for Automated Diagnosis of Retinopathy of Prematurity Plus Disease
Translational Vision Science & Technology, 2019 Purpose This study describes the initial development of a deep learning algorithm, ROP.AI, to automatically diagnose retinopathy of prematurity (ROP) plus disease in fundal images.
Zachary Tan +3 more
semanticscholar +1 more source
Automated Fovea Detection Based on Unsupervised Retinal Vessel Segmentation Method [PDF]
, 2017 The Computer Assisted Diagnosis systems could save workloads and give objective diagnostic to ophthalmologists. At first level of automated screening of systems feature extraction is the fundamental step. One of these retinal features is the fovea.
Kalantari, Faraz +3 more
core +1 more source
Vision Changes After Head and Neck Cancer Treatment
Head &Neck, EarlyView.ABSTRACT Background Literature about ocular toxicity after head and neck cancer (HNC) treatment is scarce. This study aimed to describe visual function and ocular symptoms among HNC patients. Methods The study used a cross‐sectional design. Two surveys, The National Eye Institute Visual Functioning Questionnaire (NEI‐VFQ) and an Ocular Symptom Scale ...
Hsiao‐Lan Wang +7 more
wiley +1 more source
Сибирский научный медицинский журнал, 2019 Purpose – to analyze the effectiveness of the algorithm used to monitor and treat premature infants. Material and methods. 903 premature babies were under the supervision of ophthalmologists from our clinic over the past 4 years (2014–2017).
K. A. Belousova +5 more
doaj +1 more source
Validation of the Postnatal Growth and Retinopathy of Prematurity Screening Criteria.
JAMA ophthalmology, 2019 Importance The first Postnatal Growth and Retinopathy of Prematurity Study (G-ROP-1) developed new screening criteria with 100% sensitivity for type 1 retinopathy of prematurity (ROP) and 30% reduction of infants requiring examinations in a retrospective
G. Binenbaum +11 more
semanticscholar +1 more source
Incidence and Risk Factors for Retinopathy of Prematurity in Multiple Gestations: a Chinese population study [PDF]
, 2015 To determine the incidence and risk factors of retinopathy of prematurity (ROP) among new-born Chinese infants of multiple gestations. A retrospective review of medical records was performed for all neonates of multiple gestations screened for ROP ...
Cheng, E +7 more
core +1 more source
The International Journal of Health Planning and Management, EarlyView.ABSTRACT Artificial Intelligence (AI) has emerged as a transformative force in healthcare, offering significant potential to address workforce challenges and improve patient outcomes. This perspective article presents a framework for responsible AI innovation, emphasising ethical governance, responsible leadership and a commitment to human‐centred AI ...
Abi Sriharan +6 more
wiley +1 more source
Incidence and risk factors for retinopathy of prematurity: a retrospective cohort study
International Journal of Retina and Vitreous, 2018 Background and objectivesAdvances in neonatal care promoted increased survival rates of preterm infants, with a consequent increase in the number of children affected by retinopathy of prematurity (ROP).
André Moraes Freitas +3 more
semanticscholar +1 more source
Journal of Parenteral and Enteral Nutrition, EarlyView.Abstract With advancements in neonatal care, the viability of extremely low‐birth‐weight (ELBW) infants, especially those born extremely preterm, is increasing. However, specific recommendations for managing parenteral nutrition (PN) support in nanopreterm infants (<750 g or <25 weeks' gestation) are lacking.
Mar Romero‐Lopez +4 more
wiley +1 more source
Classifying retinopathy of prematurity
Community Eye Health Journal, 2017 Knowing how to classify retinopathy of prematurity is essential as it provides information on the prognosis and guides decision making about screening and treatment.
Andrea Molinari +2 more
doaj