Health Policy

Application of deep learning image reconstruction algorithm to improve image quality in CT angiography of children with Takayasu arteritis.

BACKGROUND: The inflammatory indexes of children with Takayasu arteritis (TAK) usually tend to be no...

Impact of Cystic Fibrosis Transmembrane Conductance Regulator Therapy on Chronic Rhinosinusitis and Health Status: Deep Learning CT Analysis and Patient-reported Outcomes.

Elexacaftor, tezacaftor, and ivacaftor (ETI) in triple combination improves pulmonary health for pe...

Parameters to identify good quality oocytes and embryos in cattle.

Oocyte/embryo selection methodologies are either invasive or noninvasive and can be applied at vario...

Realizing the Power of Text Mining and Natural Language Processing for Analyzing Patient Safety Event Narratives: The Challenges and Path Forward.

Patient safety event (PSE) reports are a useful lens to understand hazards and patient safety risks ...

Living Longer Better.

Aging is a universal feature of life and a complex process at all levels from the biological to the ...

[Improve the quality of clinical cardiovascular research in China with the help of artificial intelligence].

Clinical outcomes and cost of robotic ventral hernia repair: systematic review.

BACKGROUND: Robotic ventral hernia repair (VHR) has seen rapid adoption, but with limited data asses...

Knowledge bases and software support for variant interpretation in precision oncology.

Precision oncology is a rapidly evolving interdisciplinary medical specialty. Comprehensive cancer p...

A Single RGB Camera Based Gait Analysis With A Mobile Tele-Robot For Healthcare.

With the increasing awareness of high-quality life, there is a growing need for health monitoring de...

Assessing Vision Quality in Retinal Prosthesis Implantees through Deep Learning: Current Progress and Improvements by Optimizing Hardware Design Parameters and Rehabilitation.

Retinal prosthesis (RP) is used to partially restore vision in patients with degenerative retinal di...

Ultrasound Image Quality Evaluation using a Structural Similarity Based Autoencoder.

Ultrasound (US) imaging is a widely used clinical technique that requires extensive training to use ...

Automatic Volumetric Quality Assessment of Diffusion MR Images via Convolutional Neural Network Classifiers.

Diffusion Tensor Imaging (DTI) is widely used to find brain biomarkers for various stages of brain s...

Signal Quality Assessment of PPG Signals using STFT Time-Frequency Spectra and Deep Learning Approaches.

Photoplethysmography (PPG) is an important signal which contains much physiological information like...

Transfer learning of CNN-based signal quality assessment from clinical to non-clinical PPG signals.

Photoplethysmography (PPG) is a non-invasive and cost-efficient optical technique used to assess blo...

A causal and talker-independent speaker separation/dereverberation deep learning algorithm: Cost associated with conversion to real-time capable operation.

The fundamental requirement for real-time operation of a speech-processing algorithm is causality-th...

A supervisory fuzzy logic control scheme to improve effluent quality of a wastewater treatment plant.

The application of control strategies in wastewater treatment plants has increased to improve their ...

[Let's open the black box: eXplainable Artificial Intelligence (XAI).].

The so-called "opacity" of artificial intelligence (AI), the black box model, raises concerns about ...

Artificial Intelligence for Quality Improvement in Radiology.

Artificial intelligence (AI) and informatics promise to improve the quality and efficiency of diagno...

Health-Related Quality of Life in Patients with Small Renal Mass Who Underwent Robot-Assisted Partial Nephrectomy: A Prospective Evaluation.

There have been insufficient data regarding the impact of partial nephrectomy (PN) with minimal inv...

Exploration of Machine Learning and Statistical Techniques in Development of a Low-Cost Screening Method Featuring the Global Diet Quality Score for Detecting Prediabetes in Rural India.

BACKGROUND: The prevalence of type 2 diabetes has increased substantially in India over the past 3 d...

A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI.