AIMC Topic: Systematic Reviews as Topic
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The use of artificial intelligence tools in cancer detection compared to the traditional diagnostic imaging methods: An overview of the systematic reviews.
PloS one
Oct 5, 2023
BACKGROUND AND PURPOSE: In comparison to conventional medical imaging diagnostic modalities, the aim of this overview article is to analyze the accuracy of the application of Artificial Intelligence (AI) techniques in the identification and diagnosis...
CURRENT NEURAL NETWORKS DEMONSTRATE POTENTIAL IN AUTOMATED CERVICAL VERTEBRAL MATURATION STAGE CLASSIFICATION BASED ON LATERAL CEPHALOGRAMS.
The journal of evidence-based dental practice
Sep 28, 2023
ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Neural networks for classification of cervical vertebrae maturation: a systematic review. Mathew R, Palatinus S, Padala S, Alshehri A, Awadh W, Bhandi S, Thomas J, Patil S. Angle Orthod. 2022 Nov 1;92(6):7...
A comparison of machine learning methods to find clinical trials for inclusion in new systematic reviews from their PROSPERO registrations prior to searching and screening.
Research synthesis methods
Sep 25, 2023
Searching for trials is a key task in systematic reviews and a focus of automation. Previous approaches required knowing examples of relevant trials in advance, and most methods are focused on published trial articles. To complement existing tools, w...
Can artificial intelligence separate the wheat from the chaff in systematic reviews of health economic articles?
Expert review of pharmacoeconomics & outcomes research
Aug 13, 2023
OBJECTIVES: Artificial intelligence-powered tools, such as ASReview, could reduce the burden of title and abstract screening. This study aimed to assess the accuracy and efficiency of using ASReview in a health economic context.
Commentary on "A systematic review on machine learning and deep learning techniques in cancer survival prediction": Validation of survival methods.
Progress in biophysics and molecular biology
Aug 12, 2023
Artificial intelligence in systematic reviews: promising when appropriately used.
BMJ open
Jul 7, 2023
BACKGROUND: Systematic reviews provide a structured overview of the available evidence in medical-scientific research. However, due to the increasing medical-scientific research output, it is a time-consuming task to conduct systematic reviews. To ac...
Performance of active learning models for screening prioritization in systematic reviews: a simulation study into the Average Time to Discover relevant records.
Systematic reviews
Jun 20, 2023
BACKGROUND: Conducting a systematic review demands a significant amount of effort in screening titles and abstracts. To accelerate this process, various tools that utilize active learning have been proposed. These tools allow the reviewer to interact...
Application of deep learning models for detection of subdural hematoma: a systematic review and meta-analysis.
Journal of neurointerventional surgery
May 31, 2023
A real-world evaluation of the implementation of NLP technology in abstract screening of a systematic review.
Research synthesis methods
May 25, 2023
The laborious and time-consuming nature of systematic review production hinders the dissemination of up-to-date evidence synthesis. Well-performing natural language processing (NLP) tools for systematic reviews have been developed, showing promise to...
Diagnostic performance of deep learning in infectious keratitis: a systematic review and meta-analysis protocol.
BMJ open
May 10, 2023
INTRODUCTION: Infectious keratitis (IK) represents the fifth-leading cause of blindness worldwide. A delay in diagnosis is often a major factor in progression to irreversible visual impairment and/or blindness from IK. The diagnostic challenge is fur...
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