Health Policy

Learning from urban form to predict building heights.

Understanding cities as complex systems, sustainable urban planning depends on reliable high-resolut...

Estimating the health-related quality of life of kidney stone patients: initial results from the Wisconsin Stone Quality of Life Machine-Learning Algorithm (WISQOL-MLA).

OBJECTIVE: To build the Wisconsin Stone Quality of Life Machine-Learning Algorithm (WISQOL-MLA) to p...

Machine learning in primary care: potential to improve public health.

It is estimated that missed opportunities for diagnosis occur in 1 in 20 primary care appointments. ...

The Use of Synthetic Electronic Health Record Data and Deep Learning to Improve Timing of High-Risk Heart Failure Surgical Intervention by Predicting Proximity to Catastrophic Decompensation.

Although many clinical metrics are associated with proximity to decompensation in heart failure (HF...

Feeding pattern, biochemical, anthropometric and histological effects of prolonged access to sucrose, honey and glucose-fructose solutions in Wistar rats.

BACKGROUND/OBJECTIVES: The exposure to sucrose in rats has mimic abnormalities attributed to metabol...

Generative models in pathology: synthesis of diagnostic quality pathology images.

Within artificial intelligence and machine learning, a generative model is a powerful tool for learn...

Comparing Precision Machine Learning With Consumer, Quality, and Volume Metrics for Ranking Orthopedic Surgery Hospitals: Retrospective Study.

BACKGROUND: Patients' choices of providers when undergoing elective surgeries significantly impact b...

Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation.

Segmenting anatomical structures in medical images has been successfully addressed with deep learnin...

Adaptive Ultrasound Beamforming Using Deep Learning.

Biomedical imaging is unequivocally dependent on the ability to reconstruct interpretable and high-q...

Artificial intelligence and multi agent based distributed ledger system for better privacy and security of electronic healthcare records.

BACKGROUND: Application of Artificial Intelligence (AI) and the use of agent-based systems in the he...

A brain-inspired network architecture for cost-efficient object recognition in shallow hierarchical neural networks.

The brain successfully performs visual object recognition with a limited number of hierarchical netw...

A Machine Learning Approach for the Automatic Estimation of Fixation-Time Data Signals' Quality.

Fixation time measures have been widely adopted in studies with infants and young children because t...

A Method to Improve Availability and Quality of Patient Race Data in an Electronic Health Record System.

BACKGROUND: Although federal regulations mandate documentation of structured race data according to ...

Northwest Native American Research Center for Health: A Summary of Fellowship Trainees' Success Over 15 Years of Funding.

117American Indians and Alaska Natives (AI/ANs) continue to be severely underrepresented in biomedic...

Deep Learning for US Image Quality Assessment Based on Femoral Cartilage Boundary Detection in Autonomous Knee Arthroscopy.

Knee arthroscopy is a complex minimally invasive surgery that can cause unintended injuries to femor...

A User-Oriented Intelligent Access Selection Algorithm in Heterogeneous Wireless Networks.

A heterogeneous wireless network (HWN) contains many kinds of wireless networks with overlapping are...

Mitigating Biases in CORD-19 for Analyzing COVID-19 Literature.

On the behest of the Office of Science and Technology Policy in the White House, six institutions, i...

Improvement of late gadolinium enhancement image quality using a deep learning-based reconstruction algorithm and its influence on myocardial scar quantification.

OBJECTIVES: The aim of this study was to assess the effect of a deep learning (DL)-based reconstruct...

Compressed sensing and deep learning reconstruction for women's pelvic MRI denoising: Utility for improving image quality and examination time in routine clinical practice.

PURPOSE: To demonstrate the utility of compressed sensing with parallel imaging (Compressed SPEEDER)...

Artificial intelligence in transfusion medicine and its impact on the quality concept.

Emerging use of machine learning and advanced technologies to assess red cell quality.

Improving blood product quality and patient outcomes is an accepted goal in transfusion medicine res...