Health Policy

AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences.

The AlphaFold Database Protein Structure Database (AlphaFold DB, https://alphafold.ebi.ac.uk) has si...

CoCoPyE: feature engineering for learning and prediction of genome quality indices.

BACKGROUND: The exploration of the microbial world has been greatly advanced by the reconstruction o...

Deep Learning Identifies High-Quality Fundus Photographs and Increases Accuracy in Automated Primary Open Angle Glaucoma Detection.

PURPOSE: To develop and evaluate a deep learning (DL) model to assess fundus photograph quality, and...

Modeling Precision Feedback Knowledge for Healthcare Professional Learning and Quality Improvement.

Healthcare providers learn continuously, but better support for provider learning is needed as new b...

Clinician Perceptions of Generative Artificial Intelligence Tools and Clinical Workflows: Potential Uses, Motivations for Adoption, and Sentiments on Impact.

Successful integration of Generative Artificial Intelligence (AI) into healthcare requires understan...

Using Large Language Models for sentiment analysis of health-related social media data: empirical evaluation and practical tips.

Health-related social media data generated by patients and the public provide valuable insights into...

Towards Interpretable End-Stage Renal Disease (ESRD) Prediction: Utilizing Administrative Claims Data with Explainable AI Techniques.

This study explores the potential of utilizing administrative claims data, combined with advanced ma...

The Use of Large Language Models to Accelerate Literature Review Towards Digital Health Equity and Inclusiveness.

Digital health technologies (DHTs) have revolutionized clinical trials, offering unprecedented oppor...

Improving Psychiatry Services with Artificial Intelligence: Opportunities and Challenges.

Mental disorders are a critical global public health problem due to their increasing prevalence, ris...

The Impact of Artificial Intelligence on Quality of Life for Deaf and Hard of Hearing Students.

This research study synthesizes research on applications of artificial intelligence (AI) to transfor...

The Growing Impact of Natural Language Processing in Healthcare and Public Health.

Natural Language Processing (NLP) is a subset of Artificial Intelligence, specifically focused on un...

Improving Image Quality and Diagnostic Performance of CCTA in Patients with Challenging Heart Rate Conditions using a Deep Learning-based Motion Correction Algorithm.

OBJECTIVE: Challenging HR conditions, such as elevated Heart Rate (HR) and Heart Rate Variability (H...

[Not Available].

With the emergence of innovations and technological advancements – exemplified by telemedicine...

The Initial Stage of the Artificial Intelligence Revolution: Access to Basic Income is a Human Rights Issue.

Intelligent quality control of traditional chinese medical tongue diagnosis images based on deep learning.

BACKGROUND: Computer-aided tongue and face diagnosis technology can make Traditional Chinese Medicin...

Pentagon Found Daily, Metagenomic Detection of Novel Bioaerosol Threats to Be Cost-Prohibitive: Can Virtualization and AI Make It Cost-Effective?

In 2022, the Pentagon Force Protection Agency found threat agnostic detection of novel bioaerosol th...

Research on the construction of information-based nursing quality control system based on deep learning model under the lean perspective.

OBJECTIVE: In order to improve nursing quality management and protect patient medical safety, it is ...

Examining different cost ratio frameworks for decision rule machine learning algorithms in diagnostic application.

BACKGROUND: Artificial Intelligence (AI) plays a pivotal role in the diagnosis of health conditions ...

An Evaluation Analysis for Computed Tomography Image Quality of Primary Liver Cancer Lesions Based on Deep Learning Image Reconstruction.

BACKGROUND: Abdominal multi-slice helical computed tomography (CT) and contrast-enhanced scanning ha...

Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation.

Purpose To present results from a literature survey on practices in deep learning segmentation algor...

Optimizing Computer-Aided Diagnosis with Cost-Aware Deep Learning Models.

Classical machine learning and deep learning models for Computer-Aided Diagnosis (CAD) commonly focu...