AIMC Topic: Systematic Reviews as Topic
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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...
Enhancing systematic review efficiency in hand surgery using artificial intelligence (natural language processing) for abstract screening.
The Journal of hand surgery, European volume
Nov 14, 2024
The aim of the present study was to train a natural language processing model to recognize key text elements from research abstracts related to hand surgery, enhancing the efficiency of systematic review screening. A sample of 1600 abstracts from a s...
Semi-automated title-abstract screening using natural language processing and machine learning.
Systematic reviews
Nov 1, 2024
BACKGROUND: Title-abstract screening in the preparation of a systematic review is a time-consuming task. Modern techniques of natural language processing and machine learning might allow partly automatization of title-abstract screening. In particula...
Performance of ChatGPT in medical licensing examinations in countries worldwide: A systematic review and meta-analysis protocol.
PloS one
Oct 28, 2024
INTRODUCTION: In November 2022, the online artificial intelligence (AI) chatbot ChatGPT was released to the public, and swiftly garnered global attention because of its ability to provide detailed answers to complex queries. In medical field, ChatGPT...
Automated Mass Extraction of Over 680,000 PICOs from Clinical Study Abstracts Using Generative AI: A Proof-of-Concept Study.
Pharmaceutical medicine
Sep 26, 2024
BACKGROUND: Generative artificial intelligence (GenAI) shows promise in automating key tasks involved in conducting systematic literature reviews (SLRs), including screening, bias assessment and data extraction. This potential automation is increasin...
An analysis regarding the article "Artificial intelligence-enhanced electrocardiogram for the diagnosis of cardiac amyloidosis: A systemic review and meta-analysis".
Current problems in cardiology
Sep 22, 2024
Cardiac Amyloidosis (CA) occurs when misfolded proteins accumulate in the heart muscle, leading to restrictive cardiomyopathy and possibly escalating to heart failure, impaired conduction system function, and sudden cardiac arrest. It is a significan...
ARTIFICIAL INTELLIGENCE IN DENTAL SHADE-MATCHING SHOWS PROMISING POTENTIAL FOR PRECISION IN RESTORATIVE DENTISTRY, THOUGH REQUIRING FURTHER IMPROVEMENT.
The journal of evidence-based dental practice
Sep 17, 2024
ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Shetty, S., et al. (2023). "Artificial intelligence systems in dental shade-matching: A systematic review." J Prosthodont. DOI: 10.1111/jopr.13805.
Benchmarking Human-AI collaboration for common evidence appraisal tools.
Journal of clinical epidemiology
Sep 12, 2024
BACKGROUND AND OBJECTIVE: It is unknown whether large language models (LLMs) may facilitate time- and resource-intensive text-related processes in evidence appraisal. The objective was to quantify the agreement of LLMs with human consensus in apprais...
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