US Health Policy

The Application Value of an Artificial Intelligence-Driven Intestinal Image Recognition Model to Evaluate Intestinal Preparation before Colonoscopy.

Artificial intelligence (AI), with advantages such as automatic feature extraction and high data pr...

Relative Value Encoding in Large Language Models: A Multi-Task, Multi-Model Investigation.

In-context learning enables large language models (LLMs) to perform a variety of tasks, including so...

Integrated single-cell and transcriptome sequencing data reveal the value of IL1RAP in gastric cancer microenvironment and prognosis.

BACKGROUND: Investigating the pivotal role of IL1RAP in the tumor microenvironment of gastric cancer...

Convolutional neural network using magnetic resonance brain imaging to predict outcome from tuberculosis meningitis.

INTRODUCTION: Tuberculous meningitis (TBM) leads to high mortality, especially amongst individuals w...

The diagnostic value of convolutional neural networks in thyroid cancer detection using ultrasound images.

OBJECTIVE: To extract and analyze the image features of two-dimensional ultrasound images and elasti...

A conceptual and computational framework for modeling the complex, adaptive dynamics of epidemics: The case of the SARS-CoV-2 pandemic in Mexico.

In the quest to ensure adequate preparedness for health emergencies caused by infectious disease pan...

Predictive Value of Machine Learning Models for Cerebral Edema Risk in Stroke Patients: A Meta-Analysis.

INTRODUCTION: Stroke patients are at high risk of developing cerebral edema, which can have severe c...

Predictive Value of Machine Learning for the Risk of In-Hospital Death in Patients With Heart Failure: A Systematic Review and Meta-Analysis.

BACKGROUND: The efficiency of machine learning (ML) based predictive models in predicting in-hospita...

Application value of generative artificial intelligence in the field of stomatology.

OBJECTIVES: This study aims to compare and analyze three types of generative artificial intelligence...

Genome-wide association neural networks identify genes linked to family history of Alzheimer's disease.

Augmenting traditional genome-wide association studies (GWAS) with advanced machine learning algorit...

Deep Learning-based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Biparametric MRI Datasets.

Purpose To determine whether the unsupervised domain adaptation (UDA) method with generated images i...

Deep Learning-Based Prediction of Daily COVID-19 Cases Using X (Twitter) Data.

Due to the importance of COVID-19 control, innovative methods for predicting cases using social netw...

Feasibility and Educational Value of Clinical Cases Generated Using Large Language Models.

In medical education, case-based learning (CBL) is a fundamental method for training healthcare prof...

Artificial intelligence software for analysing chest X-ray images to identify suspected lung cancer: an evidence synthesis early value assessment.

BACKGROUND: Lung cancer is one of the most common types of cancer in the United Kingdom. It is often...

How Should Medicare Pay for Artificial Intelligence?

[Diagnostic Value of Micropure Imaging Combined with Strain Elastography in Correcting Artificial Intelligence S-Detect Technology for Benign and Malignant Breast Complex Cystic and Solid Masses].

OBJECTIVE: To explore the diagnostic value of micropure imaging (MI) combined with strain elastograp...

[Application of the blastomere count variations "skip value" in the embryo AI assessment].

To explore the correlation between blastomere count variations "skip value" which extracted from by...

Machine learning for detection of heterogeneous effects of Medicaid coverage on depression.

In 2008, Oregon expanded its Medicaid program using a lottery, creating a rare opportunity to study ...

Predictive value of circulating lymphocyte subsets and inflammatory indexes for neoadjuvant chemoradiotherapy response in rectal mucinous adenocarcinoma patients: A machine learning approach.

INTRODUCTION: In this study, we aimed to evaluate the predictive value of circulating lymphocyte sub...

AI-enhanced Mammography With Digital Breast Tomosynthesis for Breast Cancer Detection: Clinical Value and Comparison With Human Performance.

Purpose To compare two deep learning-based commercially available artificial intelligence (AI) syste...

[Application value of artificial intelligence in surgical precision diagnosis and treatment of rectal cancer].

Colorectal cancer is the most common malignant tumor of digestive tract, and the incidence of colore...