Pediatric Investigation, EarlyView.Artificial intelligence (AI) offers transformative potential for paediatric diagnosis and treatment, yet implementation faces unique challenges, including data scarcity, algorithmic bias, and children's developmental physiology. This review examines current applications and charts a path toward transparent, equitable, and trustworthy AI in child health.
Ruisong Wang +3 more
wiley +1 more source
A generative adversarial network to improve integrated mode proton imaging resolution using paired proton-carbon data. [PDF]
Med PhysSimard M +7 more
europepmc +1 more source
Advancing a National Dialogue on Disability in Catholic Education
Psychology in the Schools, EarlyView.ABSTRACT This qualitative descriptive study examined perspectives from 85 participants at the National Convening on Disability and Catholic Education, a 3‐day gathering of Catholic school leaders, educators, and advocates. Using reflexive thematic analysis of structured roundtable dialogues, the study identified psychological and organizational factors
Michael J. Boyle
wiley +1 more source
Objective Evaluation of Small Bowel Visualization Quality in Wireless Capsule Endoscopy Images Using Generative Adversarial Network. [PDF]
Adv Biomed ResSadeghi V +6 more
europepmc +1 more source
Statistical post‐processing of operational dual‐resolution wind‐speed ensemble forecasts
Quarterly Journal of the Royal Meteorological Society, EarlyView.The performance of raw and post‐processed 50‐member medium‐ and 100‐member extended‐range 10‐m wind‐speed forecasts of the European Centre for Medium‐Range Weather Forecasts and their various dual‐resolution combinations is investigated. Results show that post‐processing improves skill and reduces the differences between the various configurations ...
Sándor Baran, Mária Lakatos
wiley +1 more source
Ophthalmic Image Synthesis and Analysis with Generative Adversarial Network Artificial Intelligence. [PDF]
J Imaging Inform MedMasalkhi M +8 more
europepmc +1 more source
Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT Real‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the ...
Andrés Felipe Niño +6 more
wiley +1 more source
Tabular transformer generative adversarial network for heterogeneous distribution in healthcare. [PDF]
Sci RepKang HYJ, Ko M, Ryu KS.
europepmc +1 more source
Responsive Materials, EarlyView.Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen +8 more
wiley +1 more source
Auto-segmentation and dose accuracy evaluation of synthetic computed tomography generated from pelvis cone-beam computed tomography images using a cycle-generative adversarial network with a novel loss function. [PDF]
Phys Imaging Radiat OncolAnbumani S +7 more
europepmc +1 more source