Results 111 to 120 of about 302,427 (323)

Artificial Intelligence in Ophthalmology: Current Status, Challenges, and Future Perspectives

open access: yesHealth Care Science, EarlyView.
Current research of artificial intelligence (AI) in ophthalmology. ABSTRACT Artificial intelligence (AI) is revolutionizing ophthalmology by providing innovative solutions for disease screening, diagnosis, personalized treatment, and the delivery of global healthcare services.
She Chongyang, Tao Yong
wiley   +1 more source

PampaFreq: Otimizando o EDP de Aplicações Paralelas em Processadores AMD

open access: gold, 2020
Mariana C. Costa   +6 more
openalex   +2 more sources

Second‐Order Between‐Supplier Learning

open access: yesJournal of Operations Management, EarlyView.
ABSTRACT Substantial empirical evidence shows that suppliers in emerging economies can enhance their technological capabilities through direct learning from technologically advanced foreign competitors. However, suppliers in emerging markets may struggle to learn directly from knowledge about competitors’ products that are not widely available on the ...
Lisha Liu, Xianwei Shi, Guangzhi Shang
wiley   +1 more source

Ex Vivo Evaluation of Poly(Solketal Acrylate) Nanoparticles for Intravitreal Drug Delivery to the Posterior Eye Segment

open access: yesMacromolecular Rapid Communications, EarlyView.
Nile Red‐loaded poly(solketal acrylate) nanoparticles enable fluorescence tracking and exhibit nontoxic profiles in retinal cells. Enhanced cellular uptake and deep retinal penetration after intravitreal injection highlight their excellent potential for targeted ocular drug delivery to the posterior segment of the eye.
Yasaman Pourdakheli Hamedani   +6 more
wiley   +1 more source

Early Ophthalmic Changes in Macula Does Not Correlate with Visual Function

open access: yesClinical Ophthalmology, 2020
Divya Narayanan,1 Garrick Wallstrom,2 John Rodriguez,1 Donna Welch,1 Matthew Chapin,1 Paul Arrigg,3,4 Rajkumar Patil,1 Mark Abelson1,4,5 1Ora, Inc, Andover, MA, USA; 2Statistics and Data Corporation, Tempe, AZ, USA; 3Joslin Diabetes Center, Boston, MA ...
Narayanan D   +7 more
doaj  

Predicting Infrared Optical Properties of Materials Using Machine Learning Interatomic Potentials

open access: yesMaterials Genome Engineering Advances, EarlyView.
This work proposes a new fast computing framework for infrared reflectance spectra, MTP‐FIRE, based on machine learning potential, which can achieve the same accuracy as the existing first‐principles calculation, but can be two orders of magnitude faster on average.
Lianduan Zeng   +8 more
wiley   +1 more source

Automated Coregistered Segmentation for Volumetric Analysis of Multiparametric Renal MRI

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose This study aims to develop and evaluate a fully automated deep learning‐driven postprocessing pipeline for multiparametric renal MRI, enabling accurate kidney alignment, segmentation, and quantitative feature extraction within a single efficient workflow. Methods Our method has three main stages.
Aya Ghoul   +8 more
wiley   +1 more source

Free‐Running Three‐Dimensional Cardiac Extracellular Volume Mapping in a Single Scan With Mid‐Scan Contrast Injection

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a new method for free‐running three‐dimensional (3D) extracellular volume mapping of the heart in a single scan with mid‐scan contrast injection. Methods 3D cardiac MR imaging was performed with a single scan that acquired k‐space data continuously using an inversion recovery (IR) sequence with a spoiled gradient‐echo ...
Wonil Lee   +8 more
wiley   +1 more source

Home - About - Disclaimer - Privacy