Clinical Trials

Artificial intelligence applications and the improvement of carbon emission efficiency from the perspective of sustainable development: empirical evidence from China.

Against the backdrop of China's "dual-carbon" objectives, this study examines the impact of artificial intelligence (AI) on urban carbon emission efficiency (CEE). Taking the National New Generation Artificial Intelligence Innovation and Development Pilot Zone (NNGAIIDPZ) as a quasi-natural experiment, we employ a multi-period difference-in-differences (DID) approach based on panel data from 274 C...

Identifying clinical correlates of drinking clusters during treatment for alcohol use disorder.

BACKGROUND AND OBJECTIVES: Despite the availability of treatments for alcohol use disorder (AUD), relapse prevalence and health-related consequences associated with AUD remains high. Using data-driven approaches that enhance generalizability can help elucidate relationships between treatment outcomes and alcohol consumption, aiding in the discovery of novel treatment targets for AUD subtypes. METH...

Optimizing Prediction of Chemical Bonds in Interfacial Dynamics through Local Uncertainty Estimates with Neural Network Ensembles.

We present a framework for data-efficient training of machine-learning interatomic potentials for interfacial chemistry, especially heterogeneous cata...

Development of fuzzy logic algorithm for predicting heavy metal content in poultry product.

Poultry products are important global protein sources but are vulnerable to contamination by toxic metals such as copper, cadmium, lead, and arsenic. ...

The predictive edge: modeling and simulation in drug product development.

It is well-known that drug development is challenging and a time- and resource-intensive endeavor. Historically, it has relied heavily on trial-and-er...

[Sphincter-preserving surgery for rectal cancer--From limits to perfection].

Sphincter-preserving therapy for low rectal cancer has always been a difficult and hot topic in colorectal cancer. Advanced understanding of the biolo...

[Clinical Implementation of Artificial Intelligence in Endoscopy: A Human-Artificial Intelligence Interaction Perspective].

Artificial intelligence (AI) for gastrointestinal endoscopy has shown remarkable performance in detecting and characterizing lesions. A randomized con...

Modulating subjective and objective cognitive state fatigue in long COVID with repetitive anodal tDCS: results from a double-blinded randomized controlled trial.

BACKGROUND: Cognitive fatigue is a frequently reported and debilitating symptom of long COVID, yet effective therapeutic interventions remain limited....

Demand-driven dynamics and evolutionary patterns of graduate employment in China based on recruitment big data.

Research on graduate employment had traditionally emphasized talent cultivation while insufficiently addressing labor market dynamics, which generated...

Assessing Health Care Professionals' Perceptions of a New System in Clinical Workflows: Systems Engineering Initiative for Patient Safety-Based Consensual Qualitative Research.

BACKGROUND: Artificial intelligence (AI)-enabled clinical decision support systems (CDSSs) are increasingly embedded within electronic health record (...

Evaluating the efficacy of large language models in predicting intensive care unit admission needs.

BACKGROUND: Timely identification and transfer of critically ill patients to intensive care units (ICUs) are crucial to reducing morbidity and mortali...

Recovery of expected salary estimated by facial emotion scores against computer-based landscape data.

The perceived recovery of expected salary (RES) matters for work efficacy at a given amount of wage investment. A total of 31 industrial parks (IPs) w...

Effect of sea surface temperature in El Niño regions on dengue dynamics in Colombia: Evidence from causal machine learning.

Dengue fever is among the most rapidly expanding vector-borne diseases globally, with Colombia ranking among the most affected countries in the Americ...

User experience and safety of generative AI-based mental health chatbots: Scoping review protocol.

INTRODUCTION: Mental health problems constitute a significant global health challenge due to their rising prevalence and substantial treatment gap. Di...

Teacher charisma and AI-mediated education: Effects on EFL learners' attitudes and self-efficacy.

Although Artificial Intelligence (AI) is being rapidly incorporated into the education sector, a glaring gap remains in understanding how AI-mediated ...

Lung scintigraphy for the diagnosis of acute pulmonary embolism.

Pulmonary embolism (PE) remains a major diagnostic challenge due to its potentially life-threatening nature and the clinical burden associated with an...

Nanotechnology and machine learning synergies for improving the bioavailability and functional efficacy of dietary polyphenols.

Dietary polyphenols exhibit diverse bioactivities, but their clinical application is limited by poor bioavailability due to low solubility, rapid meta...

A neural pattern for fear of neck movement: Development and response to targeted treatment.

Fear of movement is a main driver of disability and a key treatment target in chronic pain, though its neurobiological bases remain poorly understood....

Linking subjective experience of anxiety to brain function using natural language processing.

Research on anxiety focuses on clinically relevant behaviours and neurophysiological responses, particularly emphasizing recruitment of amygdala, insu...

A Smartphone-Read, Machine Learning-Enhanced Lanthanide Hydrogel Sensor for Multimodal and On-Site Detection of Kanamycin in Food Safety.

Residual kanamycin from veterinary use poses a persistent threat to environmental safety and public health, as its accumulation in water systems and a...