Health Policy

Leveraging Natural Language Processing to Improve Electronic Health Record Suicide Risk Prediction for Veterans Health Administration Users.

Suicide risk prediction models frequently rely on structured electronic health record (EHR) data, i...

Technological machines and artificial intelligence in nursing practice.

This article is a theoretical discourse about technological machines and artificial intelligence, hi...

Can the application of artificial intelligence in industry cut China's industrial carbon intensity?

As an emerging technology, industrial intelligence focus on the integration of artificial intelligen...

Evolving and Incremental Value Iteration Schemes for Nonlinear Discrete-Time Zero-Sum Games.

In this article, evolving and incremental value iteration (VI) frameworks are constructed to address...

Deep learning for assessing image quality in bi-parametric prostate MRI: A feasibility study.

BACKGROUND: Although systems such as Prostate Imaging Quality (PI-QUAL) have been proposed for quali...

A Feasibility Study on Deep Learning Reconstruction to Improve Image Quality With PROPELLER Acquisition in the Setting of T2-Weighted Gynecologic Pelvic Magnetic Resonance Imaging.

OBJECTIVES: Evaluate deep learning (DL) to improve the image quality of the PROPELLER (Periodically ...

Tri-objective optimization of a waste-to-energy plant with super critical carbon dioxide and multi-effect water desalination for building application based on biomass fuels.

In the present research, an innovative biomass-based energy system for the production of electricity...

Health system-scale language models are all-purpose prediction engines.

Physicians make critical time-constrained decisions every day. Clinical predictive models can help p...

Optimized feature fusion-based modified cascaded kernel extreme learning machine for heart disease prediction in E-healthcare.

In recent years, medical technological innovators have focused on diverse clinical therapies to find...

Artificial Intelligence and Promoting Open Access in Academic Publishing.

Target Detection-Based Control Method for Archive Management Robot.

With increasing demand for efficient archive management, robots have been employed in paper-based ar...

Deep learning model for automatic image quality assessment in PET.

BACKGROUND: A variety of external factors might seriously degrade PET image quality and lead to inco...

A Methodology for a Scalable, Collaborative, and Resource-Efficient Platform, MERLIN, to Facilitate Healthcare AI Research.

Healthcare artificial intelligence (AI) holds the potential to increase patient safety, augment effi...

A Two-Branch Neural Network for Short-Axis PET Image Quality Enhancement.

The axial field of view (FOV) is a key factor that affects the quality of PET images. Due to hardwar...

Deep Learning Accelerated Image Reconstruction of Fluid-Attenuated Inversion Recovery Sequence in Brain Imaging: Reduction of Acquisition Time and Improvement of Image Quality.

RATIONALE AND OBJECTIVES: Fluid-attenuated inversion recovery (FLAIR) imaging is playing an increasi...

Di-CNN: Domain-Knowledge-Informed Convolutional Neural Network for Manufacturing Quality Prediction.

In manufacturing, convolutional neural networks (CNNs) are widely used on image sensor data for data...

An AI-Based Image Quality Control Framework for Knee Radiographs.

Image quality control (QC) is crucial for the accurate diagnosis of knee diseases using radiographs....

Modeling limit order trading with a continuous action policy for deep reinforcement learning.

Limit Orders allow buyers and sellers to set a "limit price" they are willing to accept in a trade. ...

Cost-Effectiveness of Robot-Assisted Radical Cystectomy vs Open Radical Cystectomy for Patients With Bladder Cancer.

IMPORTANCE: The value to payers of robot-assisted radical cystectomy with intracorporeal urinary div...

Denoising approach with deep learning-based reconstruction for neuromelanin-sensitive MRI: image quality and diagnostic performance.

PURPOSE: Neuromelanin-sensitive MRI (NM-MRI) has proven useful for diagnosing Parkinson's disease (P...

Perspective of artificial intelligence in healthcare data management: A journey towards precision medicine.

Mounting evidence has highlighted the implementation of big data handling and management in the heal...