Towards Automated Meta|Analysis of Clinical Trials

Towards Automated Meta-Analysis of Clinical Trials: An Overview

These articles describe in detail machine learning approaches, methods, and tools that have been or can potentially be applied to the meta-analysis of clinical ...

Towards Automated Meta-Analysis of Clinical Trials: An Overview

Background: Nowadays, much research deals with the application of the automated meta-analysis of clinical trials through appropriate machine learning tools.

Application of AI-Meta-Analysis in Clinical Research Strategy

As a result, they may be vulnerable to human bias.[1] This is precisely where AI comes in. AI offers automation tools that can significantly ...

Automating Meta-Analyses of Randomized Clinical Trials: A First Look

Abstract. A “meta-study” or “meta-analysis” analyzes multiple medical studies related to the same disease, treatment protocol, and outcome measurement to ...

Empowering Clinical Research: The Shift to Automated Workflows ...

The shift to automated workflows and real-time data in clinical research is a critical foundation to seamless clinical trial operations, error mitigation, and ...

Piloting an automated clinical trial eligibility surveillance and ...

To address this need for an automated solution, we conducted an observational pilot study of our TAES (TriAl Eligibility Surveillance) system. We tested the ...

Future of Evidence Synthesis: Automated, Living, and Interactive ...

... study designs, such as randomized controlled trials. This step of SRMA ... Automated paper screening for clinical reviews using large language models: data ...

Automated Paper Screening for Clinical Reviews Using Large ...

Furthermore, exploring the use of LLMs to generate clinical review papers could be a promising research direction. ... review and meta-analysis of randomized ...

Automatic data extraction to support meta-analysis statistical analysis

Meta-analyses aggregate results of different clinical studies to assess the effectiveness of a treatment. Despite their importance ...

Automated tabulation of clinical trial results: A joint entity and ...

... clinical trial annotations [29]. However, to our knowledge no study to date has utilised advanced NER and RE techniques in combination to automatically ...

Article Versions Notes - MDPI

Towards Automated Meta-Analysis of Clinical Trials: An Overview. BioMedInformatics. 2023; 3(1):115-140. https://doi.org/10.3390/biomedinformatics3010009.

How AI, automation, and machine learning are upgrading clinical trials

Clinical trial patient recruitment and management · Shortening study build timelines for clinical trials · AI in clinical research: from idea to ...

How AI is being used to accelerate clinical trials - Nature

From study design to patient recruitment, researchers are investigating ways that technology could speed up the process.

Automating Meta-Analyses of Randomized Clinical Trials: A First Look

Automating Meta-Analyses of Randomized Clinical Trials: A First Look. March 29, 2023. Authors. Matthew Michelson. Track: All Papers ...

Piloting an automated clinical trial eligibility surveillance and ...

To address this need for an automated solution, we conducted an observational pilot study of our TAES (TriAl Eligibility Surveillance) system.

Automated Matching of Patients to Clinical Trials - ASCO Publications

In this study, we developed a patient-centric matching tool that matches patient-specific demographic and clinical information with free-text ...

How Automation and Generative AI will Transform Clinical Trials in ...

Data-driven content generation: Imagine being able to create a study protocol or a clinical summary report or a DSUR/PSUR, derived from data, ...

Machine Learning in Clinical Trials: A Primer with Applications to ...

Automated NLP tools for study recruitment are also being used directly by patients and clinicians, as certain research groups have begun to produce tools ...

Automation in clinical trials: Why it's essential for success | Certara

Automation can be used to improve the accuracy of results in the clinical trial process, from study setup through to submission.

Automated Meta-Analysis in Medical Research: A Causal Learning ...

This study focuses on the second step. The core contribution of this work is a multiple causal inference algorithm tailored to the potentially noisy and biased ...