US Health Policy

Patient Coded Severity and Payment Penalties Under the Hospital Readmissions Reduction Program: A Machine Learning Approach.

OBJECTIVE: The objective of this study was to examine variation in hospital responses to the Centers...

[Artificial intelligence provides promotion of big data in medical work and contribution to people's health as soon as possible: real-time warning of critical illness is the pioneer of artificial intelligence in clinical medicine].

Through the big data intelligent algorithm and application of artificial intelligence in critically ...

Machine intelligence for early targeted precision management and response to outbreaks of respiratory infections.

OBJECTIVES: To evaluate the utility of machine learning (ML) for the management of Medicare benefici...

Machine Learning for Work Disability Prevention: Introduction to the Special Series.

Rapid development in computer technology has led to sophisticated methods of analyzing large dataset...

A critical perspective on guidelines for responsible and trustworthy artificial intelligence.

Artificial intelligence (AI) is among the fastest developing areas of advanced technology in medicin...

A refined cell-of-origin classifier with targeted NGS and artificial intelligence shows robust predictive value in DLBCL.

Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous entity of B-cell lymphoma. Cell-of-origin (...

Blood Lactate Concentration Prediction in Critical Care.

Blood lactate concentration is a reliable risk indicator of deterioration in critical care requiring...

The value of convolutional neural networks in the diagnosis of melanoma simulators.

Extreme value theory of evolving phenomena in complex dynamical systems: Firing cascades in a model of a neural network.

We extend the scope of the dynamical theory of extreme values to include phenomena that do not happe...

Connecting Data to Value: An Operating Model for Healthcare Advanced Analytics.

Artificial intelligence offers the promise to revolutionize the way healthcare is delivered in the f...

Diagnostic value of artificial intelligence in early-stage lung cancer.

The Enterprise Imaging Value Proposition.

As resources in the healthcare environment continue to wane, leaders are seeking ways to continue to...

Positive Predictive Value Surfaces as a Complementary Tool to Assess the Performance of Virtual Screening Methods.

BACKGROUND: Since their introduction in the virtual screening field, Receiver Operating Characterist...

Does machine learning improve prediction of VA primary care reliance?

OBJECTIVES: The Veterans Affairs (VA) Health Care System is among the largest integrated health syst...

Augmented Radiologist Workflow Improves Report Value and Saves Time: A Potential Model for Implementation of Artificial Intelligence.

RATIONALE AND OBJECTIVES: Our primary aim was to improve radiology reports by increasing concordance...

The Mortality and Medical Costs of Air Pollution: Evidence from Changes in Wind Direction.

We estimate the causal effects of acute fine particulate matter exposure on mortality, health care u...

Novel Machine Learning Approach to Identify Preoperative Risk Factors Associated With Super-Utilization of Medicare Expenditure Following Surgery.

IMPORTANCE: Typically defined as the top 5% of health care users, super-utilizers are responsible fo...

[Application value of Revolution CT combining three-dimensional visualization technique in precision resection of hepatic alveolar echinococcosis].

OBJECTIVE: To explore the application value of Revolution CT combining three -dimensional visualizat...

An Introduction to Machine Learning for Clinicians.

The technology at the heart of the most innovative progress in health care artificial intelligence (...

The Application of Machine Learning to Quality Improvement Through the Lens of the Radiology Value Network.

Recent advances in machine learning and artificial intelligence offer promising applications to radi...

Extracting Alcohol and Substance Abuse Status from Clinical Notes: The Added Value of Nursing Data.

We applied an open source natural language processing (NLP) system "NimbleMiner" to identify clinica...