Health Policy

Term Matrix: a novel Gene Ontology annotation quality control system based on ontology term co-annotation patterns.

Biological processes are accomplished by the coordinated action of gene products. Gene products ofte...

Deep Learning Using Chest Radiographs to Identify High-Risk Smokers for Lung Cancer Screening Computed Tomography: Development and Validation of a Prediction Model.

BACKGROUND: Lung cancer screening with chest computed tomography (CT) reduces lung cancer death. Cen...

Robotic environmental DNA bio-surveillance of freshwater health.

Autonomous water sampling technologies may help to overcome the human resource challenges of monitor...

A Smart Service Platform for Cost Efficient Cardiac Health Monitoring.

AIM: In this study we have investigated the problem of cost effective wireless heart health monitori...

iPiDA-sHN: Identification of Piwi-interacting RNA-disease associations by selecting high quality negative samples.

As a large group of small non-coding RNAs (ncRNAs), Piwi-interacting RNAs (piRNAs) have been detecte...

An Analysis of Peristaltic Locomotion for Maximizing Velocity or Minimizing Cost of Transport of Earthworm-Like Robots.

Earthworm-like peristaltic locomotion has been implemented in >50 robots, with many potential applic...

Objective assessment of stored blood quality by deep learning.

Stored red blood cells (RBCs) are needed for life-saving blood transfusions, but they undergo contin...

Design and Fabrication of a Low-Cost Silicone and Water-Based Soft Actuator with a High Load-to-Weight Ratio.

Traditional actuators, such as motors as well as hydraulic or pneumatic artificial muscles, demonstr...

The Greatest Challenge to Using AI/ML for Primary Health Care: Mindset or Datasets?

The global vision for primary health care (PHC) is defined by regular access to quality care for com...

Structuring, reuse and analysis of electronic dental data using the Oral Health and Disease Ontology.

BACKGROUND: A key challenge for improving the quality of health care is to be able to use a common f...

Automated quantification of myocardial tissue characteristics from native T mapping using neural networks with uncertainty-based quality-control.

BACKGROUND: Tissue characterisation with cardiovascular magnetic resonance (CMR) parametric mapping ...

Educational Value of YouTube Surgical Videos of Pediatric Robot-Assisted Laparoscopic Pyeloplasty: A Qualitative Assessment.

Surgeons and residents report using videos to prepare for procedures, with a preference for open ac...

Characteristics of Twitter Use by State Medicaid Programs in the United States: Machine Learning Approach.

BACKGROUND: Twitter is a potentially valuable tool for public health officials and state Medicaid pr...

Artificial Intelligence Algorithm Qualification: A Quality by Design Approach to Apply Artificial Intelligence in Pharma.

Quality is defined by the American Society for Quality (ASQ) as "the totality of features and charac...

Localization of Biobotic Insects Using Low-Cost Inertial Measurement Units.

Disaster robotics is a growing field that is concerned with the design and development of robots for...

BMIVPOT, a Fully Automated Version of the Intravenous Pole: Simulation, Design, and Evaluation.

Robotic intravenous poles are automated supportive instrument that needs to be triggered by patients...

Considering the Safety and Quality of Artificial Intelligence in Health Care.

AutoAudio: Deep Learning for Automatic Audiogram Interpretation.

Hearing loss is the leading human sensory system loss, and one of the leading causes for years lived...

Are Convolutional Neural Networks Trained on ImageNet Images Wearing Rose-Colored Glasses?: A Quantitative Comparison of ImageNet, Computed Tomographic, Magnetic Resonance, Chest X-Ray, and Point-of-Care Ultrasound Images for Quality.

OBJECTIVES: Deep learning for medical imaging analysis uses convolutional neural networks pretrained...

Gas-phase volatilomic approaches for quality control of brewing hops based on simultaneous GC-MS-IMS and machine learning.

For the first time, a prototype HS-GC-MS-IMS dual-detection system is presented for the analysis of ...

Milk Source Identification and Milk Quality Estimation Using an Electronic Nose and Machine Learning Techniques.

In this study, an electronic nose (E-nose) consisting of seven metal oxide semiconductor sensors is ...