Public Health & Policy

Clinical Trials

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

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Use of Electronic Medical Records (EMR) in Gerontology: Benefits, Considerations and a Promising Future.

Electronic medical records (EMRs) have many benefits in clinical research in gerontology, enabling d...

Identification of oral therapeutics using an AI platform against the virus responsible for COVID-19, SARS-CoV-2.

This study introduces a sophisticated computational pipeline, , designed for the discovery of antiv...

Short-term and long-term efficacy in robot-assisted treatment for mid and low rectal cancer: a systematic review and meta-analysis.

OBJECTIVE: This study aims to conduct a meta-analysis to evaluate the short-term and long-term thera...

Resistive versus active assisted robotic training for the upper limb after a stroke: A randomized controlled study.

BACKGROUND: Selection of a suitable training modality according to the status of upper limb function...

Training Universal Deep-Learning Networks for Electromagnetic Medical Imaging Using a Large Database of Randomized Objects.

Deep learning has become a powerful tool for solving inverse problems in electromagnetic medical ima...

Federated Fuzzy Clustering for Decentralized Incomplete Longitudinal Behavioral Data.

The use of medical data for machine learning, including unsupervised methods such as clustering, is ...

Optilume drug-coated balloon for anterior urethral stricture: 2-year results of the ROBUST III trial.

OBJECTIVE: The aim of this study is to report the updated 2-year results of the intervention arm of ...

Enhancing academic writing skills and motivation: assessing the efficacy of ChatGPT in AI-assisted language learning for EFL students.

INTRODUCTION: This mixed-methods study evaluates the impact of AI-assisted language learning on Chin...

Feasibility of artificial intelligence its current status, clinical applications, and future direction in cardiovascular disease.

In routine clinical practice, the diagnosis and treatment of cardiovascular disease (CVD) rely on da...

Deep Unsupervised Representation Learning for Feature-Informed EEG Domain Extraction.

In electroencephalography (EEG) classification paradigms, data from a target subject is often diffic...

Using artificial intelligence for exercise prescription in personalised health promotion: A critical evaluation of OpenAI's GPT-4 model.

The rise of artificial intelligence (AI) applications in healthcare provides new possibilities for p...

A 13.2 mg epinephrine intranasal spray demonstrates comparable pharmacokinetics, pharmacodynamics, and safety to a 0.3 mg epinephrine autoinjector.

BACKGROUND: Recent acute anaphylaxis guideline updates have identified remaining unmet needs based o...

[Quality indicators artificial intelligence].

The ability of some artificial intelligence (AI) systems to autonomously evolve and the sometimes ve...

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