Health Policy

AHRQ's digital healthcare research program: 20 years of advancing innovation and discovery.

OBJECTIVES: To reflect on the achievements of the Agency for Healthcare Research and Quality's (AHRQ...

Potential Use and Limitation of Artificial Intelligence to Screen Diabetes Mellitus in Clinical Practice: A Literature Review.

The burden of undiagnosed diabetes mellitus (DM) is substantial, with approximately 240 million indi...

DeepCheck: multitask learning aids in assessing microbial genome quality.

Metagenomic analyses facilitate the exploration of the microbial world, advancing our understanding ...

[Application of Artificial Intelligence in Sperm Quality Analysis and Sperm Screening].

Infertility is a global health issue, and more and more people are hoping to have babies by means of...

[Digital Intelligence Drives the High-Quality Development of the Healthcare Service System: Development Mechanisms and Implementation Pathway].

The rapid development of digital intelligence technologies is providing a powerful boost to the high...

Shaping the future of heart health.

For World Heart Day on September 24, 2024, the World Heart Federation urges nations to endorse natio...

New horizons in prediction modelling using machine learning in older people's healthcare research.

Machine learning (ML) and prediction modelling have become increasingly influential in healthcare, p...

Can AI be used to assess research quality?

Harnessing Natural Language Processing to Assess Quality of End-of-Life Care for Children With Cancer.

PURPOSE: Data on end-of-life care (EOLC) quality, assessed through evidence-based quality measures (...

Deep Learning-Based Reconstruction Algorithm With Lung Enhancement Filter for Chest CT: Effect on Image Quality and Ground Glass Nodule Sharpness.

OBJECTIVE: To assess the effect of a new lung enhancement filter combined with deep learning image r...

Reporting standards to support cost-effectiveness evaluations of AI-driven health care.

Achieving sustainability in heat drying processing: Leveraging artificial intelligence to maintain food quality and minimize carbon footprint.

The food industry is a significant contributor to carbon emissions, impacting carbon footprint (CF),...

Open Access Data and Deep Learning for Cardiac Device Identification on Standard DICOM and Smartphone-based Chest Radiographs.

Purpose To develop and evaluate a publicly available deep learning model for segmenting and classify...

Impact of high-quality, mixed-domain data on the performance of medical language models.

OBJECTIVE: To optimize the training strategy of large language models for medical applications, focu...

A Novel Method and Python Library for ECG Signal Quality Assessment.

Electrocardiogram (ECG) is one of the reference cardiovascular diagnostic exams. However, the ECG si...

Multi-Objective Performance Optimization of Machine Learning Models in Healthcare.

Multi-objective optimization holds particular significance for medical applications, wherein enhanci...

Healthcare LLMs Go to Market: A Realist Review of Product Launch News.

We provide a realist review of product launches for Large Language Models (LLMs) in the healthcare i...

Dementia Ontology Development to Facilitate Collection of High-Quality Dementia Data.

The population of dementia patients is on the rise, as society undergoes rapid aging. This led to an...

Improving the Quality of Unstructured Cancer Data Using Large Language Models: A German Oncological Case Study.

With cancer being a leading cause of death globally, epidemiological and clinical cancer registratio...

GPT-Based Model for Concise Summaries of Patient Health Information.

Although Patient Health Records (PHRs) are vital tools for patients, enabling them to access and man...

Quality Assessment of Brain MRI Defacing Using Machine Learning.

Defacing of brain magnetic resonance imaging (MRI) scans is a crucial process in medical imaging res...