Public Health & Policy

Clinical Trials

Latest AI and machine learning research in clinical trials for healthcare professionals.

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Clinical efficacy of NIBS in enhancing neuroplasticity for stroke recovery.

BACKGROUND: For stroke patients, a therapeutic approach named Non-invasive brain stimulation (NIBS) ...

The development of an artificial intelligence auto-segmentation tool for 3D volumetric analysis of vestibular schwannomas.

Linear and volumetric analysis are the typical methods to measure tumor size. 3D volumetric analysis...

Radiation oncology at crossroads: Rise of AI and managing the unexpected.

Integrating artificial intelligence (AI) into radiation oncology has revolutionized clinical workflo...

Artificial intelligence for individualized treatment of persistent atrial fibrillation: a randomized controlled trial.

Although pulmonary vein isolation (PVI) has become the cornerstone ablation procedure for atrial fib...

Machine-learning approaches to predict individualized treatment effect using a randomized controlled trial.

Recent advancements in machine learning (ML) for analyzing heterogeneous treatment effects (HTE) are...

Visualizing what's missing: Using deep learning and Bow-Tie diagrams to identify and visualize missing leading indicators in industrial construction.

INTRODUCTION: In the construction industry, where safety is paramount, the frequency and severity of...

The good, the bad, and the ugly: Ethical considerations regarding artificial intelligence assistance in administrative physician tasks.

Artificial intelligence is a powerful tool that can potentially transform the diagnostic, therapeuti...

Neural-network-based accelerated safe Q-learning for optimal control of discrete-time nonlinear systems with state constraints.

For unknown nonlinear systems with state constraints, it is difficult to achieve the safe optimal co...

Spatial heterogeneity effect of built environment on traffic safety using geographically weighted atrous convolutions neural network.

The built environment exerts a significant influence on the frequency and severity of traffic accide...

Artificial Intelligence Job Substitution Risks, Digital Self-efficacy, and Mental Health Among Employees.

OBJECTIVE: Artificial intelligence (AI) becomes increasingly integrated into the workplace, its asso...

Efficacy of an artificial intelligence preoperative planning system for assisting in revision surgery after artificial total hip arthroplasty.

OBJECTIVE: To explore the early efficacy of an artificial intelligence preoperative planning system ...

The Efficacy of Conversational AI in Rectifying the Theory-of-Mind and Autonomy Biases: Comparative Analysis.

BACKGROUND: The increasing deployment of conversational artificial intelligence (AI) in mental healt...

Weight loss-independent changes in human growth hormone during water-only fasting: a secondary evaluation of a randomized controlled trial.

INTRODUCTION: Water-only fasting for one day or more may provide health benefits independent of weig...

Initializing a Public Repository for Hosting Benchmark Datasets to Facilitate Machine Learning Model Development in Food Safety.

While there is clear potential for artificial intelligence (AI) and machine learning (ML) models to ...

ChatGPT-4 Performance on German Continuing Medical Education-Friend or Foe (Trick or Treat)? Protocol for a Randomized Controlled Trial.

BACKGROUND: The increasing development and spread of artificial and assistive intelligence is openin...

Around the EQUATOR With Clin-STAR: AI-Based Randomized Controlled Trial Challenges and Opportunities in Aging Research.

The CONSORT 2010 statement is a guideline that provides an evidence-based checklist of minimum repor...

Evaluating the Efficacy of Perplexity Scores in Distinguishing AI-Generated and Human-Written Abstracts.

RATIONALE AND OBJECTIVES: We aimed to evaluate the efficacy of perplexity scores in distinguishing b...

GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial.

While large language models (LLMs) have shown promise in diagnostic reasoning, their impact on manag...

Toward Machine Learning Electrospray Ionization Sensitivity Prediction for Semiquantitative Lipidomics in Stem Cells.

Specificity, sensitivity, and high metabolite coverage make mass spectrometry (MS) one of the most v...

Shoulder Musculoskeletal Disorder Rehabilitation Using a Robotic Device Based on Electromyography (EMG) Biofeedback: A Retrospective Cohort Study.

: While shoulder injuries represent the musculoskeletal disorders (MSDs) most encountered in physica...

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