Medicaid

A Multimodal Transfer Learning Approach for Histopathology and SR-microCT Low-Data Regimes Image Segmentation.

Osteocyte-lacunar bone structures are a discerning marker for bone pathophysiology, given their geom...

Improving Neonatal Care with AI: Class Weight Optimization for Respiratory Distress Syndrome Prediction in Very Low Birth Weight Infants.

In this study, we developed an AI model to predict Respiratory Distress Syndrome (RDS) in premature ...

Therapy for Abnormal Muscle Synergies in Stroke Using the ULIX Low-Impedance Robot.

Patients who suffer from stroke often experience synergistic movements that make completion of activ...

Lightweight Neural-Network-Based Trajectory Estimation for Low-Cost Inertial Measurement Units.

Generally, inertial measurement unit can measure the acceleration and angular velocity of an object ...

Using Transfer Learning to Refine Object Detection Models for Blind and Low Vision Users.

Object detection models available on smartphones such as YOLOv8 can potentially help identify and lo...

EDRAM-Net: Encoder-Decoder with Residual Attention Module Network for Low-dose Computed Tomography Reconstruction.

The medical application of Computed Tomography (CT) is to provide detailed anatomical structures of ...

Validation and depth evaluation of recurrent neural network-based ultra low-pass genome sequencing for the detection of absence of heterozygosity: A multi-centre study of 409 cases.

Performance evaluation of ML models for preoperative prediction of HER2-low BC based on CE-CBBCT radiomic features: A prospective study.

To explore the value of machine learning (ML) models based on contrast-enhanced cone-beam breast com...

Approximating Nonlinear Functions With Latent Boundaries in Low-Rank Excitatory-Inhibitory Spiking Networks.

Deep feedforward and recurrent neural networks have become successful functional models of the brain...

Robot-assisted low anterior resection in a patient with rectal cancer who had a urinary reservoir: A case report.

Undergoing another surgery after a previous abdominal procedure can sometimes result in significant ...

Use of artificial intelligence and radio genomics in neuroradiology and the future of brain tumour imaging and surgical planning in low- and middleincome countries.

Brain tumour diagnosis involves assessing various radiological and histopathological parameters. Ima...

Image Quality and Diagnostic Performance of Low-Dose Liver CT with Deep Learning Reconstruction versus Standard-Dose CT.

Purpose To compare the image quality and diagnostic capability in detecting malignant liver tumors o...

Deep Learning-Based Kernel Adaptation Enhances Quantification of Emphysema on Low-Dose Chest CT for Predicting Long-Term Mortality.

OBJECTIVES: The aim of this study was to ascertain the predictive value of quantifying emphysema usi...

A fuzzy TOPSIS-based approach for prioritizing low-impact development methods in high-density residential areas.

The study successfully implemented six low-impact development (LID) methods to manage surface runoff...

Comparative analysis of machine learning models for efficient low back pain prediction using demographic and lifestyle factors.

BACKGROUND: Low back pain (LBP) is one of the most frequently occurring musculoskeletal disorders, a...

Deep learning-based differentiation of peripheral high-flow and low-flow vascular malformations in T2-weighted short tau inversion recovery MRI.

BACKGROUND: Differentiation of high-flow from low-flow vascular malformations (VMs) is crucial for t...

Overcoming Low Adherence to Chronic Medications by Improving their Effectiveness using a Personalized Second-generation Digital System.

INTRODUCTION: Low adherence to chronic treatment regimens is a significant barrier to improving clin...

Image Quality Improvement of Low-dose Abdominal CT using Deep Learning Image Reconstruction Compared with the Second Generation Iterative Reconstruction.

BACKGROUND: Whether deep learning-based CT reconstruction could improve lesion conspicuity on abdomi...

Think "HER2" different: integrative diagnostic approaches for HER2-low breast cancer.

This work explores the complex field of HER2 testing in the HER2-low breast cancer era, with a focus...

The deep route to low-field MRI with high potential.

Pilot study of machine learning in the task of distinguishing high and low-grade pediatric hydronephrosis on ultrasound.

PURPOSE: Hydronephrosis is a common pediatric urological condition, characterized by dilation of the...