Health Policy

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 ...

Assessment of Quality Outcomes and Learning Curve for Robot-Assisted Minimally Invasive McKeown Esophagectomy.

BACKGROUND: This study aimed to identify the results of the quality assessment and the learning curv...

Validation of Deep-Learning Image Reconstruction for Low-Dose Chest Computed Tomography Scan: Emphasis on Image Quality and Noise.

OBJECTIVE: Iterative reconstruction degrades image quality. Thus, further advances in image reconstr...

Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies.

Given the powerful implications of relationship quality for health and well-being, a central mission...

Digital health technologies: opportunities and challenges in rheumatology.

The past decade in rheumatology has seen tremendous innovation in digital health technologies, inclu...

Prediction and classification of sleep quality based on phase synchronization related whole-brain dynamic connectivity using resting state fMRI.

Recently, functional network connectivity (FNC) has been extended from static to dynamic analysis to...

Image-based consensus molecular subtype (imCMS) classification of colorectal cancer using deep learning.

OBJECTIVE: Complex phenotypes captured on histological slides represent the biological processes at ...

Implementation of data intelligence models coupled with ensemble machine learning for prediction of water quality index.

In recent decades, various conventional techniques have been formulated around the world to evaluate...

Exploring supervised machine learning approaches to predicting Veterans Health Administration chiropractic service utilization.

BACKGROUND: Chronic spinal pain conditions affect millions of US adults and carry a high healthcare ...

The ethics of AI in health care: A mapping review.

This article presents a mapping review of the literature concerning the ethics of artificial intelli...

Interactive machine learning for soybean seed and seedling quality classification.

New computer vision solutions combined with artificial intelligence algorithms can help recognize pa...

Advances in Telemedicine in Ophthalmology.

Telemedicine is the provision of healthcare-related services from a distance and is poised to move h...

Artificial Intelligence and Health Technology Assessment: Anticipating a New Level of Complexity.

Artificial intelligence (AI) is seen as a strategic lever to improve access, quality, and efficiency...

2020 ACR Presidential Address: Quality, Ownership, and Our Role as Physicians.

A story from long ago reminds us of the importance of quality in our practices, of taking ownership ...

Single-institution Cost Comparison: Single-port Versus Multiport Robotic Prostatectomy.

BACKGROUND: In the era of efficient value-based health care, each surgical innovation should be prov...

Hybrid neural network with cost-sensitive support vector machine for class-imbalanced multimodal data.

Although deep learning exhibits advantages in various applications involving multimodal data, it can...