US Health Policy

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 and reduce mortality. However, studies regarding the impact of anesthesia type on outcomes of infrainguinal bypass (IIB) have demonstrated mixed results. In this multi-institutional study, we aimed to investigate the association of neuraxial anesthesia (NA) versus general anesthesia (GA) and periope...

Predicting Autism from Head Movement Patterns during Naturalistic Social Interactions.

Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized in part by difficulties in verbal and nonverbal social communication. Evidence indicates that autistic people, compared to neurotypical peers, exhibit differences in head movements, a key form of nonverbal communication. Despite the crucial role of head movements in social communication, research on this nonverbal cue i...

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 buildings. Environmentally friendly materials, also know...

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) has always been a challenge. Due to the excellent...

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 Septic Shock Performance Measure bundle (SEP-1) metri...

Multicentric Ga-PSMA PET radiomics for treatment response assessment of Lu-PSMA-617 radioligand therapy in patients with metastatic castration-resistant prostate cancer.

OBJECTIVE: The treatment with Lutetium PSMA (Lu-PSMA) in patients with metastatic castration-resistant prostate cancer (mCRPC) has recently been appro...

How can artificial intelligence boost firms' exports? evidence from China.

This paper explores the impact of artificial intelligence and industrial robots on firms' export behaviour and divides the impact mechanism into the p...

Current Reimbursement Landscape of Artificial Intelligence.

One of the biggest hurdles to widespread adoption of new procedures and technology such as artificial intelligence (AI) algorithms is payment and cove...

Value Proposition of FDA-Approved Artificial Intelligence Algorithms for Neuroimaging.

PURPOSE: The number of FDA-cleared artificial intelligence (AI) algorithms for neuroimaging has grown in the past decade. The adoption of these algori...

New drugs and stock market: a machine learning framework for predicting pharma market reaction to clinical trial announcements.

Pharmaceutical companies operate in a strictly regulated and highly risky environment in which a single slip can lead to serious financial implication...

Artificial intelligence in ophthalmology: The path to the real-world clinic.

Artificial intelligence (AI) has great potential to transform healthcare by enhancing the workflow and productivity of clinicians, enabling existing s...

Evolving and Incremental Value Iteration Schemes for Nonlinear Discrete-Time Zero-Sum Games.

In this article, evolving and incremental value iteration (VI) frameworks are constructed to address the discrete-time zero-sum game problem. First, t...

Research on the impact of industrial robot application on the status of countries in manufacturing global value chains.

The fast growth in the installation of industrial robots has had a major impact on the comparative advantage of nations and the division of labor in g...

Differentiation between Phyllodes Tumors and Fibroadenomas through Breast Ultrasound: Deep-Learning Model Outperforms Ultrasound Physicians.

The preoperative differentiation of breast phyllodes tumors (PTs) from fibroadenomas (FAs) plays a critical role in identifying an appropriate surgica...

Combating hypertension beyond genome-wide association studies: Microbiome and artificial intelligence as opportunities for precision medicine.

The single largest contributor to human mortality is cardiovascular disease, the top risk factor for which is hypertension (HTN). The last two decades...

Comparison of Transperitoneal and Retroperitoneal Partial Nephrectomy with Single-Port Robot.

To investigate the efficacy and safety of single-port (SP) robotic transperitoneal (TP) and retroperitoneal (RP) partial nephrectomy. We sequentiall...

Artificial intelligence-aided method to detect uterine fibroids in ultrasound images: a retrospective study.

We explored a new artificial intelligence-assisted method to assist junior ultrasonographers in improving the diagnostic performance of uterine fibroi...

Identification and quantification of anomalies in environmental gamma dose rate time series using artificial intelligence.

Gamma dose rate (GDR) monitors are the most widely used tool for continuous monitoring of environmental radioactivity. They are inexpensive to procure...

A deep learning platform to assess drug proarrhythmia risk.

Drug safety initiatives have endorsed human iPSC-derived cardiomyocytes (hiPSC-CMs) as an in vitro model for predicting drug-induced cardiac arrhythmi...

Artificial intelligence in cancer research and precision medicine: Applications, limitations and priorities to drive transformation in the delivery of equitable and unbiased care.

Artificial intelligence (AI) has experienced explosive growth in oncology and related specialties in recent years. The improved expertise in data capt...