US Health Policy

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

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Predictive Value of Acute Neurological Progression Using Bayesian CT Perfusion for Acute Ischemic Stroke with Large or Median Vessel Occlusion.

OBJECTIVE: Since the efficacy of mechanical thrombectomy (MT) for acute cerebral infarction due to l...

Unavoidable social contagion of false memory from robots to humans.

Many of us interact with voice- or text-based conversational agents daily, but these conversational ...

Predictive Value of Machine Learning for Recurrence of Atrial Fibrillation after Catheter Ablation: A Systematic Review and Meta-Analysis.

BACKGROUND: Accurate detection of atrial fibrillation (AF) recurrence after catheter ablation is cru...

Understanding the factors influencing acceptability of AI in medical imaging domains among healthcare professionals: A scoping review.

BACKGROUND: Artificial intelligence (AI) technology has the potential to transform medical practice ...

Artificial intelligence and cognitive diagnosis based teaching resource recommendation algorithm.

In the realm of advanced technology, deep learning capabilities are harnessed to analyze and predict...

AI maturity in health care: An overview of 10 OECD countries.

BACKGROUND: Artificial Intelligence (AI) and its applications in health care are on the agenda of po...

Predictive value and potential association of PET/CT radiomics on lymph node metastasis of cervical cancer.

OBJECTIVE: Due to the information-rich nature of positron emission tomography/computed tomography (P...

The effect of neuraxial versus general anesthesia on outcomes of infrainguinal bypasses in Vascular Quality Initiative-Medicare-Linked database.

BACKGROUND: Neuraxial anesthesia (NA) has been hypothesized to decrease postoperative complications ...

Potential added value of an AI software with prediction of malignancy for the management of incidental lung nodules.

PURPOSE: To determine the impact of an artificial intelligence software predicting malignancy in the...

Predicting Autism from Head Movement Patterns during Naturalistic Social Interactions.

Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized in part by difficulti...

The impact of thermal insulating materials in heat loss control in smart green buildings using experimental and swarm intelligent analysis.

The efficacy of saving energy standards depends on the ability to anticipate the heat loss of buildi...

Dual-use ionization source for direct and sensitive detection of trace carbamates residue.

Directly determining trace compounds in actual sample by ambient ionization mass spectrometry (AIMS)...

Applying feature selection and machine learning techniques to estimate the biomass higher heating value.

The biomass higher heating value (HHV) is an important thermal property that determines the amount o...

Beyond SEP-1 Compliance: Assessing the Impact of Antibiotic Overtreatment and Fluid Overload in Suspected Septic Patients.

BACKGROUND: The Centers for Medicare and Medicaid Services (CMS) developed the Severe Sepsis and Sep...

Capturing Emerging Experiential Knowledge for Vaccination Guidelines Through Natural Language Processing: Proof-of-Concept Study.

BACKGROUND: Experience-based knowledge and value considerations of health professionals, citizens, a...

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