AIMC Topic: Systematic Reviews as Topic

Clear Filters Showing 121 to 130 of 211 articles

Systematic Review and Comparison of Publicly Available ICU Data Sets-A Decision Guide for Clinicians and Data Scientists.

Critical care medicine
OBJECTIVE: As data science and artificial intelligence continue to rapidly gain traction, the publication of freely available ICU datasets has become invaluable to propel data-driven clinical research. In this guide for clinicians and researchers, we...

Using artificial intelligence methods for systematic review in health sciences: A systematic review.

Research synthesis methods
The exponential increase in published articles makes a thorough and expedient review of literature increasingly challenging. This review delineated automated tools and platforms that employ artificial intelligence (AI) approaches and evaluated the re...

Automation of literature screening using machine learning in medical evidence synthesis: a diagnostic test accuracy systematic review protocol.

Systematic reviews
BACKGROUND: Systematic review is an indispensable tool for optimal evidence collection and evaluation in evidence-based medicine. However, the explosive increase of the original literatures makes it difficult to accomplish critical appraisal and regu...

Machine learning in systematic reviews: Comparing automated text clustering with Lingo3G and human researcher categorization in a rapid review.

Research synthesis methods
Systematic reviews are resource-intensive. The machine learning tools being developed mostly focus on the study identification process, but tools to assist in analysis and categorization are also needed. One possibility is to use unsupervised automat...

Extracting experimental parameter entities from scientific articles.

Journal of biomedical informatics
Systematic reviews are labor-intensive processes to combine all knowledge about a given topic into a coherent summary. Despite the high labor investment, they are necessary to create an exhaustive overview of current evidence relevant to a research q...

Tools to support the automation of systematic reviews: a scoping review.

Journal of clinical epidemiology
OBJECTIVE: The objectives of this scoping review are to identify the reliability and validity of the available tools, their limitations and any recommendations to further improve the use of these tools.

Using an artificial intelligence tool can be as accurate as human assessors in level one screening for a systematic review.

Health information and libraries journal
BACKGROUND: Artificial intelligence (AI) offers a promising solution to expedite various phases of the systematic review process such as screening.

Deep learning-based facial image analysis in medical research: a systematic review protocol.

BMJ open
INTRODUCTION: Deep learning techniques are gaining momentum in medical research. Evidence shows that deep learning has advantages over humans in image identification and classification, such as facial image analysis in detecting people's medical cond...