AIMC Topic: Systematic Reviews as Topic
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Automated Paper Screening for Clinical Reviews Using Large Language Models: Data Analysis Study.
Journal of medical Internet research
Jan 12, 2024
BACKGROUND: The systematic review of clinical research papers is a labor-intensive and time-consuming process that often involves the screening of thousands of titles and abstracts. The accuracy and efficiency of this process are critical for the qua...
LOW CERTAINTY OF EVIDENCE SUPPORTS THE APPLICATION OF (AI) FOR THE AUTOMATIC DETECTION OF CEPHALOMETRIC LANDMARKS WITH PROSPECTS FOR IMPROVEMENTS.
The journal of evidence-based dental practice
Dec 21, 2023
ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Artificial Intelligence for Detecting Cephalometric Landmarks: A Systematic Review and Meta-analysis. J Digit Imaging. 2023 Jun;36(3):1158-1179. doi:10.1007/s10278-022-00766-w.
Applications of natural language processing at emergency department triage: A narrative review.
PloS one
Dec 14, 2023
INTRODUCTION: Natural language processing (NLP) uses various computational methods to analyse and understand human language, and has been applied to data acquired at Emergency Department (ED) triage to predict various outcomes. The objective of this ...
Evaluating the efficacy of artificial intelligence tools for the automation of systematic reviews in cancer research: A systematic review.
Cancer epidemiology
Dec 9, 2023
To evaluate the performance accuracy and workload savings of artificial intelligence (AI)-based automation tools in comparison with human reviewers in medical literature screening for systematic reviews (SR) of primary studies in cancer research in o...
Methods for using Bing's AI-powered search engine for data extraction for a systematic review.
Research synthesis methods
Dec 8, 2023
Data extraction is a time-consuming and resource-intensive task in the systematic review process. Natural language processing (NLP) artificial intelligence (AI) techniques have the potential to automate data extraction saving time and resources, acce...
Comment on: Detecting dental caries on oral photographs using artificial intelligence: A systematic review.
Oral diseases
Oct 27, 2023
The value of standards for health datasets in artificial intelligence-based applications.
Nature medicine
Oct 26, 2023
Artificial intelligence as a medical device is increasingly being applied to healthcare for diagnosis, risk stratification and resource allocation. However, a growing body of evidence has highlighted the risk of algorithmic bias, which may perpetuate...
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...
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