Health Policy

A Business Case for Artificial Intelligence Tools: The Currency of Improved Quality and Reduced Cost.

For data science tools to mature and become integrated into routine clinical practice, they must add...

Using Artificial Intelligence to Improve the Quality and Safety of Radiation Therapy.

Within artificial intelligence, machine learning (ML) efforts in radiation oncology have augmented t...

The Application of Machine Learning to Quality Improvement Through the Lens of the Radiology Value Network.

Recent advances in machine learning and artificial intelligence offer promising applications to radi...

Enabling Data-Driven Clinical Quality Assurance: Predicting Adverse Event Reporting in Clinical Trials Using Machine Learning.

INTRODUCTION: Adverse event (AE) under-reporting has been a recurrent issue raised during health aut...

Demand Analysis and Function Design of Health Decision Support System in China.

In order to improve the level of health decision-making, based on health information resources and d...

Scoring Patient Fall Reports Using Quality Rubric and Machine Learning.

Patient falls, a subcategory of patient safety events, cause further harm and anxiety to patients in...

Development of Deep Learning Algorithm for Detection of Colorectal Cancer in EHR Data.

We aimed to develop a deep learning model for the prediction of the risk of advanced colorectal canc...

Automatic Methods to Extract Prescription Status Quality Measures from Unstructured Health Records.

Hospital systems frequently implement quality measures to quantify healthcare processes and patient ...

Enhancing Case Capture, Quality, and Completeness of Primary Melanoma Pathology Records via Natural Language Processing.

PURPOSE: Medical records contain a wealth of useful, informative data points valuable for clinical r...

Satellite images and machine learning can identify remote communities to facilitate access to health services.

OBJECTIVE: Community health systems operating in remote areas require accurate information about whe...

Characterizing Subgroups of High-Need, High-Cost Patients Based on Their Clinical Conditions: a Machine Learning-Based Analysis of Medicaid Claims Data.

Quality-based Regularization for Iterative Deep Image Segmentation.

Traditional image segmentation algorithms operate by iteratively working over an image, as if refini...

A deep learning technique for imputing missing healthcare data.

Missing data is a frequent occurrence in medical and health datasets. The analysis of datasets with ...

Deep Learning with Convolutional Neural Network for detecting microsleep states from EEG: A comparison between the oversampling technique and cost-based learning.

Any occupation which involves critical decision making in real-time requires attention and concentra...

Predicting Gastrointestinal Bleeding Events from Multimodal In-Hospital Electronic Health Records Using Deep Fusion Networks.

Applying machine learning (ML) methods on electronic health records (EHRs) that accurately predict t...

Diagnostic Quality Assessment of Ocular Fundus Photographs: Efficacy of Structure-Preserving ScatNet Features.

Various ophthalmic procedures critically depend on high-quality images. For instance, efficiency of ...

Prediction of patient evolution in terms of Clinical Risk Groups form routinely collected data using machine learning.

Chronicity is a problem that is affecting quality of life and increasing healthcare costs worldwide....

Prediction of effluent quality in ICEAS-sequential batch reactor using feedforward artificial neural network.

It is highly essential that municipal wastewater is treated before its discharge and reuse in order ...

Machine Learning for Health Services Researchers.

BACKGROUND: Machine learning is increasingly used to predict healthcare outcomes, including cost, ut...

Artificial Intelligence Based Hierarchical Clustering of Patient Types and Intervention Categories in Adult Spinal Deformity Surgery: Towards a New Classification Scheme that Predicts Quality and Value.

STUDY DESIGN: Retrospective review of prospectively-collected, multicenter adult spinal deformity (A...

Advocating for Safe, Quality and Just Care: What Nursing Leaders Need to Know about Artificial Intelligence in Healthcare Delivery.

The rapid integration of artificial intelligence (AI) into healthcare delivery has not only provided...