Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Synthetic Biology02:55

Synthetic Biology

5.6K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
5.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A Systematic Review and Meta-analysis of Ethnic Inequalities in Stroke Incidence Patterns and Trends in High-Income Countries (2015-2025).

Neuroepidemiology·2026
Same author

Variation in stroke survivors' long-term home care use: a South London population-based study.

European stroke journal·2026
Same author

Temporal Trends and Drivers of Socioeconomic Inequalities in Stroke Care, Survival, and Long-Term Outcomes.

Journal of the American Heart Association·2026
Same author

Reducing alcohol consumption in UK armed forces veterans: Feasibility of using personalized push notifications with AI.

PLOS digital health·2026
Same author

Ethnic Inequalities in Return to Work Post First Stroke: Findings From a Population-Based Cohort Study in South London.

Journal of the American Heart Association·2026
Same author

Effectiveness of AI-based interventions in workplace mental health: a systematic review and narrative synthesis.

British medical bulletin·2026

Related Experiment Video

Updated: Feb 19, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.6K

Automating Biomedical Evidence Synthesis: RobotReviewer.

Iain J Marshall1, Joël Kuiper2, Edward Banner3

  • 1Department of Primary Care and Public Health Sciences, Kings College London.

Proceedings of the Conference. Association for Computational Linguistics. Meeting
|November 3, 2017
PubMed
Summary

RobotReviewer is an open-source tool that uses machine learning and natural language processing (NLP) to automate the synthesis of biomedical evidence from randomized controlled trials (RCTs). This system aids evidence-based medicine by extracting key trial data and appraising study reliability.

More Related Videos

Automated Robotic Liquid Handling Assembly of Modular DNA Devices
11:22

Automated Robotic Liquid Handling Assembly of Modular DNA Devices

Published on: December 1, 2017

13.0K
Shotgun Proteomics Sample Processing Automated by an Open-Source Lab Robot
10:12

Shotgun Proteomics Sample Processing Automated by an Open-Source Lab Robot

Published on: October 28, 2021

4.3K

Related Experiment Videos

Last Updated: Feb 19, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.6K
Automated Robotic Liquid Handling Assembly of Modular DNA Devices
11:22

Automated Robotic Liquid Handling Assembly of Modular DNA Devices

Published on: December 1, 2017

13.0K
Shotgun Proteomics Sample Processing Automated by an Open-Source Lab Robot
10:12

Shotgun Proteomics Sample Processing Automated by an Open-Source Lab Robot

Published on: October 28, 2021

4.3K

Area of Science:

  • Biomedical Informatics
  • Artificial Intelligence in Medicine
  • Evidence-Based Medicine

Background:

  • Synthesizing evidence from biomedical literature is crucial for Evidence-Based Medicine (EBM).
  • Manual evidence synthesis is time-consuming and resource-intensive.
  • Automating parts of this process can improve efficiency and accessibility.

Purpose of the Study:

  • To present RobotReviewer, an open-source system for semi-automating biomedical evidence synthesis.
  • To aid practitioners in Evidence-Based Medicine by processing randomized controlled trials (RCTs).
  • To extract and synthesize structured data from full-text RCT articles.

Main Methods:

  • RobotReviewer utilizes machine learning and Natural Language Processing (NLP) techniques.
  • The system processes full-text journal articles in PDF format.
  • It appraises the reliability of RCTs and extracts key trial characteristics using novel NLP methods.

Main Results:

  • RobotReviewer semi-automates the extraction of structured data from RCTs.
  • The system generates reports synthesizing extracted information.
  • It aims to cover the full range of data needed for EBM.

Conclusions:

  • RobotReviewer offers a novel approach to semi-automating biomedical evidence synthesis.
  • The system has the potential to significantly support Evidence-Based Medicine practices.
  • Further development aims for complete automated data extraction and synthesis.