Medicaid

CMOS-compatible flash-gated thyristor-based neuromorphic module with small area and low energy consumption for in-memory computing.

In-memory computing (IMC) is a technology that enables efficient analog vector-matrix multiplication...

Association of artificial intelligence-predicted milk yield residuals to behavioral patterns and transition success in multiparous dairy cows.

Data-driven health monitoring based on milk yield has shown potential to identify health-perturbing ...

Potential diagnostic and therapeutic gene in chronic low back pain through pyroptosis modulation: A silico study based on the dataset analysis.

Chronic low back pain (cLBP ) is a common condition that affects the quality of life, can be caused ...

Illuminating radiogenomic signatures in pediatric-type diffuse gliomas: insights into molecular, clinical, and imaging correlations. Part II: low-grade group.

The fifth edition of the World Health Organization classification of central nervous system tumors r...

Low-quality papers based on public health data are flooding the scientific literature.

Mechanical performance dataset for alloy with applications at low temperatures.

Modern technologies such as liquid fuels (hydrogen, oxygen), superconductivity, and quantum technolo...

Generative AI enables medical image segmentation in ultra low-data regimes.

Semantic segmentation of medical images is pivotal in applications like disease diagnosis and treatm...

BSN with Explicit Noise-Aware Constraint for Self-Supervised Low-Dose CT Denoising.

Although supervised deep learning methods have made significant advances in low-dose computed tomogr...

Low-dimensional metal chalcogenides for wearable gas sensing.

Real-time monitoring of the surrounding gas environment, including our inhaled and exhaled atmospher...

Artificial Intelligence for Low-Dose CT Lung Cancer Screening: Comparison of Utilization Scenarios.

. Artificial intelligence (AI) tools for evaluating low-dose CT (LDCT) lung cancer screening examina...

Feasibility study of "double-low" scanning protocol combined with artificial intelligence iterative reconstruction algorithm for abdominal computed tomography enhancement in patients with obesity.

OBJECTIVE: To evaluate the efficacy of the "double-low" scanning protocol combined with the artifici...

Deep supervised transformer-based noise-aware network for low-dose PET denoising across varying count levels.

BACKGROUND: Reducing radiation dose from PET imaging is essential to minimize cancer risks; however,...

Molecular property prediction in the ultra-low data regime.

Data scarcity remains a major obstacle to effective machine learning in molecular property predictio...

Learning With Self-Calibrator for Fast and Robust Low-Light Image Enhancement.

Convolutional Neural Networks (CNNs) have shown significant success in the low-light image enhanceme...

Implementation of ultra-low-power neural networks on quantized and pruned RRAM crossbar arrays.

We demonstrate ultra-low-power spiking neural network (SNN) inference on an RRAM crossbar array by a...

The Impact of Machine Learning Mortality Risk Prediction on Clinician Prognostic Accuracy and Decision Support: A Randomized Vignette Study.

BackgroundMachine learning (ML) algorithms may improve the prognosis for serious illnesses such as c...

Deep Learning Automated Measurements of Expanded Polystyrene Beads Size Using Low-Resolution Micrography.

The analysis of microscopic characteristics of closed-cell polymeric foams, particularly bead size, ...

CT-Mamba: A hybrid convolutional State Space Model for low-dose CT denoising.

Low-dose CT (LDCT) significantly reduces the radiation dose received by patients, however, dose redu...

Elucidating the selection mechanisms in context-dependent computation through low-rank neural network modeling.

Humans and animals exhibit a remarkable ability to selectively filter out irrelevant information bas...

Self-Evolving Discovery of Carrier Biomaterials with Ultra-Low Nonspecific Protein Adsorption for Single Cell Analysis.

Carrier biomaterials used in single-cell analysis face a bottleneck in protein detection sensitivity...

Clinical value of the 70-kVp ultra-low-dose CT pulmonary angiography with deep learning image reconstruction.

OBJECTIVE: This study aims to assess the feasibility of "double-low," low radiation dosage and low c...