Health Policy

Intracranial stereotactic radiosurgery with an adapted linear accelerator vs. robotic radiosurgery: Comparison of dosimetric treatment plan quality.

BACKGROUND AND PURPOSE: Stereotactic radiosurgery with an adapted linear accelerator (linac-SRS) is ...

Prediction of water quality index in constructed wetlands using support vector machine.

Poor water quality is a serious problem in the world which threatens human health, ecosystems, and p...

Comment on "Performance of ANFIS versus MLP-NN dissolved oxygen prediction models in water quality monitoring A. Najah & A. El-Shafie & O. A. Karim & Amr H. El-Shafie. Environ Sci Pollut Res (2014) 21:1658-1670".

Uphill walking with a simple exoskeleton: plantarflexion assistance leads to proximal adaptations.

While level walking with a pneumatic ankle-foot exoskeleton is studied extensively, less is known on...

Measuring quality of life with fuzzy numbers: in the perspectives of reliability, validity, measurement invariance, and feasibility.

PURPOSE: Fuzzy set theory (FST) can improve various aspects of measurement with questionnaires. Howe...

A novel flexible hyper-redundant surgical robot: prototype evaluation using a single incision flexible access pelvic application as a clinical exemplar.

INTRODUCTION: The flexible endoscope is increasingly being considered as a surgical tool to enable i...

Systematic Poisoning Attacks on and Defenses for Machine Learning in Healthcare.

Machine learning is being used in a wide range of application domains to discover patterns in large ...

A novel modification of the Turing test for artificial intelligence and robotics in healthcare.

BACKGROUND: The increasing demands of delivering higher quality global healthcare has resulted in a ...

Machine learning models for terroir classification and blend similarity prediction: A proof-of-concept to enhance cocoa quality evaluation.

Flavour is a key quality attribute of cocoa, essential for industry standards and consumer preferenc...

A heterogeneity analysis of health-related quality of life in early adults born very preterm or very low birthweight across the sociodemographic spectrum.

Preterm birth and very low birthweight (VP/VLBW) are associated with poorer health-related quality o...

SPAST: Arbitrary style transfer with style priors via pre-trained large-scale model.

Given an arbitrary content and style image, arbitrary style transfer aims to render a new stylized i...

Accelerating prostate rs-EPI DWI with deep learning: Halving scan time, enhancing image quality, and validating in vivo.

OBJECTIVES: This study aims to evaluate the feasibility and effectiveness of deep learning-based sup...

Explicit estimation of magnitude and phase spectra in parallel for high-quality speech enhancement.

Phase information has a significant impact on speech perceptual quality and intelligibility. However...

Porous-Structure Flexible Muscle Sensor for Monitoring Muscle Function and Mass.

Muscle function and composition are important indicators of age-related health. However, current ass...

Unexploited opportunities in oral disease biosensors and digital health integration.

Oral pathologies such as oral cancer, oral potentially malignant disorders (OPMDs), oral squamous ce...

Harnessing AI and advanced modeling for precision ozone control: A data-driven approach to air quality management.

Ozone (O₃) is a secondary pollutant formed through photochemical reactions involving volatile organi...

Prediction of trihalomethane occurrence and cancer risk using interpretable machine learning and virtual data augmentation.

Trihalomethanes (THMs) in drinking water are regulated for carcinogenic health risks. However, frequ...

Mapping the road to better sleep: forecasting sleep quality using actigraphy-based machine learning hours before bedtime.

Constructing Accurate Potential Energy Surfaces with Limited High-Level Data Using Atom-Centered Potentials and Density Functional Theory.

We present a general method for developing a Δ-DFT-type approach that enables the generation of ener...

Uncertainty quantification-guided patient-specific quality assurance using Bayesian neural networks based on field complexity features and fluence maps.

Recent advancements in artificial intelligence (AI)-driven prediction models for measurement-based p...

Semantic Convergence with LLMs for Head and Neck Cancer Quality Indicators.

We developed a novel method for leveraging large language models (LLM) to systematically filter and ...