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 prior-sampling conditional variational autoencoder for neuroimaging normative modelling: Benchmarking deep learning against statistical approaches. [PDF]
Ho MP +5 more
europepmc +1 more source
Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning
Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis +7 more
wiley +1 more source
Ultrasound - based deep learning radiomics nomogram for noninvasive prediction of p53 mutation status in hepatocellular carcinoma: a variational autoencoder based development and validation study. [PDF]
Chen S +7 more
europepmc +1 more source
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
Soft Measurement Modeling Method Based on Quality-Related Mixed Variational Autoencoder Regression. [PDF]
Xu J, Yu B, Mo C, Fang K, Lin X.
europepmc +1 more source
Organizing across cognitive asymmetry in human–AI collaboration: A study of perfume creation
Abstract Research Summary As organizations increasingly adopt generative AI (GenAI), they face a strategic challenge: not only deciding which tasks AI should perform, but also how to organize the integration of human and AI efforts to produce viable solutions.
Tomoko Yokoi +3 more
wiley +1 more source
Multimodal Variational Autoencoder: A Barycentric View. [PDF]
Qiu P +8 more
europepmc +1 more source
Geometry‐Encoded Programmable Mechanics in Single‐Material Dual‐Phase Metamaterials
Inspired by the unique soft‐hard heterogeneous architecture of nacre, this study proposes a novel class of dual‐phase (DP) metamaterials. The DP metamaterials exhibit programmable nonlinear mechanical responses, tailored failure processes, and enhanced energy absorption by systematically varying the spatial coding patterns of soft‐hard unit cells ...
Miao Zhao +6 more
wiley +1 more source
Spatial-Frequency-Scale Variational Autoencoder for Enhanced Flow Diagnostics of Schlieren Data. [PDF]
Yang R +6 more
europepmc +1 more source

