Public Health & Policy

Clinical Trials

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

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ESR Essentials: common performance metrics in AI-practice recommendations by the European Society of Medical Imaging Informatics.

This article provides radiologists with practical recommendations for evaluating AI performance in r...

High-intensity interval training with robot-assisted gait therapy vs. treadmill gait therapy in chronic stroke: a randomized controlled trial.

OBJECTIVE: Stroke is a leading cause of long-term disability, significantly impacting patients' mobi...

Understanding Clinician Perceptions of GenAI: A Mixed Methods Analysis of Clinical Documentation Tasks.

This mixed-methods study evaluated clinicians' user experience (UX) with Generative AI (GenAI) in El...

Integrative network pharmacology and multi-omics reveal anisodamine hydrobromide's multi-target mechanisms in sepsis.

Sepsis, marked by hyperinflammation and subsequent immunosuppression, lacks effective phase-specific...

Digital Therapeutics in Cardiovascular Healthcare: A Narrative Review.

The rapid development of digital therapeutics (DTx) presents opportunities for cardiovascular diseas...

Assessment of Patient Safety Culture Among Citizens: A Survey Study.

OBJECTIVES: Public engagement in quality and safety improvement is crucial in health care. To have a...

Ensuring Battery Safety in Electric Vehicles: Challenges, Developments, and Future Perspectives.

With the rapid adoption of electric vehicles (EVs), battery safety has emerged as a cornerstone of i...

The need for guardrails with large language models in pharmacovigilance and other medical safety critical settings.

Large language models (LLMs) are useful tools with the capacity for performing specific types of kno...

Trauma-predictive brain network connectivity adaptively responds to mild acute stress.

Past traumatic experiences shape neural responses to future stress, but the mechanisms underlying th...

Ensemble of deep learning and IoT technologies for improved safety in smart indoor activity monitoring for visually impaired individuals.

Old and vision-impaired indoor action monitoring utilizes sensor technology to observe movement and ...

Machine Learning-Based Cognitive Assessment With The Autonomous Cognitive Examination: Randomized Controlled Trial.

BACKGROUND: The rising prevalence of dementia necessitates a scalable solution to cognitive assessme...

"Digital Clinicians" Performing Obesity Medication Self-Injection Education: Feasibility Randomized Controlled Trial.

BACKGROUND: Artificial intelligence (AI) chatbots have shown competency in a range of areas, includi...

The role of computational modeling in enhancing thermal safety during cardiac ablation.

OBJECTIVE: In this narrative review, we aim to provide an analysis of current cardiac ablation techn...

A scoping review of artificial intelligence applications in clinical trial risk assessment.

Artificial intelligence (AI) is increasingly applied to clinical trial risk assessment, aiming to im...

Developing and validating machine learning models to predict next-day extubation.

Criteria to identify patients who are ready to be liberated from mechanical ventilation (MV) are imp...

Enhancing theory of mind in autism through humanoid robot interaction in a randomized controlled trial.

Autism Spectrum Disorder presents significant challenges in social cognition, particularly in unders...

Evaluating the efficacy of using large language models in preoperative prediction of microvascular invasion in HCC: a multicenter study.

Primary liver cancer is the sixth most commonly diagnosed cancer globally and the third leading caus...

Effect of a communication robot in the prevention of postoperative delirium in older persons: A randomized controlled trial.

Japan Clinical Trials Registry (jRCT) (URL: https://jrct.mhlw.go.jp; No. jRCT1030250018; date: April...

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