US Health Policy

Latest AI and machine learning research in us health policy for healthcare professionals.

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The Chest X- Ray: The Ship has Sailed, But Has It?

In the past, the chest X-ray (CXR) was a traditional age and amount requirement used to assess poten...

ChatGPT-4-Driven Liver Ultrasound Radiomics Analysis: Diagnostic Value and Drawbacks in a Comparative Study.

BACKGROUND: Artificial intelligence (AI) is transforming medical imaging, with large language models...

Assessing Clinician Consistency in Wound Tissue Classification and the Value of AI-Assisted Quantification: A Cross-Sectional Study.

This study investigated the relationship between clinician assessments and the AI-generated scores, ...

Prognostic value of the Glucose-to-Albumin ratio in sepsis-related mortality: A retrospective ICU study.

AIMS: To investigate the prognostic value of the glucose-to-albumin ratio (GAR) in predicting 30-day...

Sharing patient technology preferences with care networks: Stakeholders' views of the "Let's Talk Tech" decision aid for dementia care.

BackgroundLet's Talk Tech (LTT) is a self-administered web intervention for people with memory loss ...

A mean field theory for pulse-coupled neural oscillators based on the spike time response curve.

A mean field method for pulse-coupled oscillators with delays used a self-connected oscillator to re...

The radiologist and data: Do we add value or is data just data?

Artificial intelligence in radiology critically depends on vast amounts of quality data, and there a...

CCTA-Derived coronary plaque burden offers enhanced prognostic value over CAC scoring in suspected CAD patients.

AIMS: To assess the prognostic utility of coronary artery calcium (CAC) scoring and coronary compute...

Deep learning network enhances imaging quality of low-b-value diffusion-weighted imaging and improves lesion detection in prostate cancer.

BACKGROUND: Diffusion-weighted imaging with higher b-value improves detection rate for prostate canc...

[Clinical value of medical imaging artificial intelligence in the diagnosis and treatment of peritoneal metastasis in gastrointestinal cancers].

Peritoneal metastasis is a key factor in the poor prognosis of advanced gastrointestinal cancer pati...

Application of machine learning algorithm for prediction of abortion among reproductive age women in Ethiopia.

Abortion is a critical health issue that leads to numerous complications, maternal deaths, and signi...

Artificial Intelligence Technologies for Nursing Development: A Review of the Current Literature.

Recent years have seen rapid development of artificial intelligence (AI) technology revolutionizing ...

Predictive value of machine learning for PD-L1 expression in NSCLC: a systematic review and meta-analysis.

BACKGROUND: As machine learning (ML) continuously develops in cancer diagnosis and treatment, some r...

Diagnostic value of small dense low-density lipoprotein and trace elements in coronary artery disease.

Coronary artery disease (CAD) is a worldwide leading cause of death. Considering that 20%-40% of pat...

Quantitative determination of acid value in palm oil during thermal oxidation using Raman spectroscopy combined with deep learning models.

Accurate monitoring of acid value (AV) is critical for edible oil quality control, yet traditional c...

Prognostic value of circadian rhythm-associated genes in breast cancer.

OBJECTIVE: Breast cancer (BC) remains the most prevalent malignancy among women. Clinical evidence i...

Online Reinforcement Learning Control Designs With Acceleration Mechanism for Unknown Multiagent Systems Through Value Iteration.

In this article, an online reinforcement learning (RL) control method through value iteration (VI) i...

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