Results 201 to 210 of about 1,707,394 (241)
Revenue-sensitive evaluation of AI-assisted ICD-10-CM coding and human-AI collaboration under dual DRG payment systems. [PDF]
Chen MI, Hsu YL, Chen YH.
europepmc +1 more source
AI is reshaping the design and modeling of organic electrochemical energy materials, from redox‐active molecules to polymer electrolytes. Progress across data‐driven prediction, machine‐learning interatomic potentials, generative models, and agentic workflows is assessed, while persistent challenges in data quality, polymer representation, validation ...
Zhan‐Yun Zhang +7 more
wiley +1 more source
Explicit Future Pattern-Enhanced Multivariate Time Series Forecasting. [PDF]
Li Y, Wei Y, Cai J, Cheng W, Lin Y.
europepmc +1 more source
ABSTRACT Purpose To propose a new method using a physics‐guided neural network for quantitative parameter mapping in balanced steady‐state free precession (bSSFP) imaging. Theory and Methods We trained physics‐guided neural networks with a multilayer perceptron using simulated bSSFP signals generated from tissue parameters (T1, T2,Meffc, ∆f and φRF ...
Hye‐Ryeong Choi +2 more
wiley +1 more source
An Adaptive Estimation Method for Heterogeneous Group Targets with Uncertain Multiplicative and Additive Noises. [PDF]
Liu Z, Jing W, Wang P, Gu W, Ma T.
europepmc +1 more source
Compile‐Once Block Encodings for Masked Similarity‐Transformed Effective Hamiltonians
Composer transforms structured electronic‐structure operators into a reusable quantum‐circuit fabric. Once compiled, the same block‐encoding architecture is re‐dialed through coefficients, rotation angles, and masks to generate similarity‐transformed effective Hamiltonians across related problem instances, avoiding repeated structural recompilation ...
Bo Peng, Yuan Liu, Karol Kowalski
wiley +1 more source
Rotation-based metric on the Riemannian manifold of SPD matrices with applications to source data selection for brain-computer interface transfer learning. [PDF]
Heskebeck F +2 more
europepmc +1 more source
A new physics‐informed compilation framework bridges the gap between theoretical quantum simulations and noisy NISQ hardware. By combining native qubit placement with adaptive, variational circuit synthesis, this approach drastically reduces circuit depth and circumvents device noise, unlocking high‐fidelity quantum simulations on current processors ...
F. S. Luiz +2 more
wiley +1 more source
Brain-CLIPLM: semantic compression for EEG-to-text decoding. [PDF]
Yang X +5 more
europepmc +1 more source
Penalized Cumulative Probability Model for a Continuous Outcome Subject to Detection Limits
ABSTRACT Mixed‐type outcome data occur when the outcome variable's distribution is a mixture of both continuous and discrete ordinal variables. Such mixed‐type outcomes are common in biomedical, psychological, and the health sciences, particularly for variables having either a detection or quantitation limit.
Shuai Sun +2 more
wiley +1 more source

