US Health Policy

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

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Improved value iteration for neural-network-based stochastic optimal control design.

In this paper, a novel value iteration adaptive dynamic programming (ADP) algorithm is presented, wh...

From Data to Value: How Artificial Intelligence Augments the Radiology Business to Create Value.

The radiology practice has access to a wealth of data in the radiologist information system, dictati...

The diagnostic value of quantitative texture analysis of conventional MRI sequences using artificial neural networks in grading gliomas.

AIM: To explore the value of quantitative texture analysis of conventional magnetic resonance imagin...

Improving breast cancer care coordination and symptom management by using AI driven predictive toolkits.

Integrated breast cancer care is complex, marked by multiple hand-offs between primary care and spec...

Diagnostic Value of Lesion-specific Measurement of Myocardial Blood Flow Using Hybrid PET/CT.

BACKGROUND: We evaluated whether lesion-specific measurement of myocardial blood flow (MBF) and flow...

Y-Site Compatibility of Intravenous Levetiracetam With Commonly Used Critical Care Medications.

Levetiracetam is an antiepileptic medication commonly used in critical care areas for seizure treat...

Revisiting the value of polysomnographic data in insomnia: more than meets the eye.

BACKGROUND: Polysomnography (PSG) is not recommended as a diagnostic tool in insomnia. However, this...

Predicting the higher heating value of syngas pyrolyzed from sewage sludge using an artificial neural network.

Sludge pyrolysis is a complex process including complicated reaction chemistry, phase transition, an...

Decision tree machine learning applied to bovine tuberculosis risk factors to aid disease control decision making.

Identifying and understanding the risk factors for endemic bovine tuberculosis (TB) in cattle herds ...

Added Value of Quantitative Ultrasound and Machine Learning in BI-RADS 4-5 Assessment of Solid Breast Lesions.

The purpose of this study was to evaluate various combinations of 13 features based on shear wave el...

Deep Learning Models for Health and Safety Risk Prediction in Power Infrastructure Projects.

Inappropriate management of health and safety (H&S) risk in power infrastructure projects can result...

Social behavior for autonomous vehicles.

Deployment of autonomous vehicles on public roads promises increased efficiency and safety. It requi...

Energy enhanced tissue texture in spectral computed tomography for lesion classification.

Tissue texture reflects the spatial distribution of contrasts of image voxel gray levels, i.e., the ...

The low-protein diet for chronic kidney disease: 8 years of clinical experience in a nephrology ward.

BACKGROUND: Guidelines indicate that a low-protein diet (LPD) delays dialysis in severe chronic kidn...

Trust Me, I'm a Chatbot: How Artificial Intelligence in Health Care Fails the Turing Test.

Over the next decade, one issue which will dominate sociotechnical studies in health informatics is ...

Recognizing Human Daily Activity Using Social Media Sensors and Deep Learning.

The human daily activity category represents individual lifestyle and pattern, such as sports and sh...

Artificial intelligence in radiology: the ecosystem essential to improving patient care.

The rapid development of artificial intelligence (AI) has led to its widespread use in multiple indu...

Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health data.

Colorectal cancer (CRC) is third in prevalence and mortality among all cancers in the US. Currently,...

Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem.

Volumetric imaging is an essential diagnostic tool for medical practitioners. The use of popular tec...

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