AIMC Topic: Systematic Reviews as Topic
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ChatGPT-4o can serve as the second rater for data extraction in systematic reviews.
PloS one
Jan 7, 2025
BACKGROUND: Systematic reviews provide clarity of a bulk of evidence and support the transfer of knowledge from clinical trials to guidelines. Yet, they are time-consuming. Artificial intelligence (AI), like ChatGPT-4o, may streamline processes of da...
ARTIFICIAL INTELLIGENCE DEMONSTRATES POTENTIAL IN DETECTING CARIES ON BITEWING RADIOGRAPHS, BUT FURTHER HIGH-QUALITY STUDIES ARE REQUIRED.
The journal of evidence-based dental practice
Jan 4, 2025
ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Diagnostic performance of artificial intelligence-aided caries detection on bitewing radiographs: A systematic review and meta-analysis. Ammar, N. & Kühnisch, J. Japanese Dental Science Review, 60(2024): 1...
LIMITED EVIDENCE SUGGESTS ARTIFICIAL INTELLIGENCE SHOWS PROMISING PERFORMANCE IN OUTCOMES RELEVANT TO REMOVABLE AND FIXED PROSTHODONTIC FIELDS.
The journal of evidence-based dental practice
Jan 3, 2025
ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Revilla-León M, Gómez-Polo M, Vyas S, Barmak AB, Gallucci GO, Att W, Özcan M, Krishnamurthy VR. Artificial intelligence models for tooth-supported fixed and removable prosthodontics: A systematic review. J...
Development and Validation of a Literature Screening Tool: Few-Shot Learning Approach in Systematic Reviews.
Journal of medical Internet research
Dec 11, 2024
BACKGROUND: Systematic reviews (SRs) are considered the highest level of evidence, but their rigorous literature screening process can be time-consuming and resource-intensive. This is particularly challenging given the rapid pace of medical advancem...
Evaluation of RMES, an Automated Software Tool Utilizing AI, for Literature Screening with Reference to Published Systematic Reviews as Case-Studies: Development and Usability Study.
JMIR formative research
Dec 9, 2024
BACKGROUND: Systematic reviews and meta-analyses are important to evidence-based medicine, but the information retrieval and literature screening procedures are burdensome tasks. Rapid Medical Evidence Synthesis (RMES; Deloitte Tohmatsu Risk Advisory...
Using Artificial Intelligence to Detect Risk of Family Violence: Protocol for a Systematic Review and Meta-Analysis.
JMIR research protocols
Dec 2, 2024
BACKGROUND: Despite the implementation of prevention strategies, family violence continues to be a prevalent issue worldwide. Current strategies to reduce family violence have demonstrated mixed success and innovative approaches are needed urgently t...
Quality assessment of critical and non-critical domains of systematic reviews on artificial intelligence in gliomas using AMSTAR II: A systematic review.
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Nov 29, 2024
INTRODUCTION: Gliomas are the most common primary malignant intraparenchymal brain tumors with a dismal prognosis. With growing advances in artificial intelligence, machine learning and deep learning models are being utilized for preoperative, intrao...
Integrating large language models in systematic reviews: a framework and case study using ROBINS-I for risk of bias assessment.
BMJ evidence-based medicine
Nov 22, 2024
Large language models (LLMs) may facilitate and expedite systematic reviews, although the approach to integrate LLMs in the review process is unclear. This study evaluates GPT-4 agreement with human reviewers in assessing the risk of bias using the R...
TIRADS-based artificial intelligence systems for ultrasound images of thyroid nodules: protocol for a systematic review.
Journal of ultrasound
Nov 20, 2024
PURPOSE: The thyroid imaging reporting and data system (TIRADS) was developed as a standard global term to describe thyroid nodule risk features, aiming to address issues such as variability and low reproducibility in nodule feature detection and int...
Comment about 'Medical, dental, and nursing students' attitudes and knowledge towards artificial intelligence: a systematic review and meta-analysis'.
BMC medical education
Nov 19, 2024
We read with great interest the recently published article by Amiri et al., titled "Medical, Dental, and Nursing Students' Attitudes and Knowledge Toward Artificial Intelligence: A Systematic Review and Meta-Analysis." We would like to offer comments...
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