AIMC Topic: Systematic Reviews as Topic

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ChatGPT MAY PROVIDE ACCURATE MEDICAL AND DENTAL RESPONSES, THOUGH VARIABILITIES EXIST.

The journal of evidence-based dental practice
ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Bagde H, Dhopte A, Alam MK, Basri R. A systematic review and meta-analysis on ChatGPT and its utilization in medical and dental research. Heliyon. 2023 Dec 1;9(12).

The Role of Artificial Intelligence Large Language Models in Literature Search Assistance to Evaluate Inguinal Hernia Repair Approaches.

Journal of laparoendoscopic & advanced surgical techniques. Part A
This study assesses the reliability of artificial intelligence (AI) large language models (LLMs) in identifying relevant literature comparing inguinal hernia repair techniques. We used LLM chatbots (Bing Chat AI, ChatGPT versions 3.5 and 4.0, and G...

Machine learning-assisted literature screening for a medication-use process-related systematic review.

American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists
PURPOSE: This article summarizes a novel methodology of applying machine learning (ML) algorithms trained with external training data to assist with article screening for 2 annual review series related to the medication-use process (MUP) generally an...

Large Language Model-Assisted Systematic Review: Validation Based on Cochrane Review Data.

Studies in health technology and informatics
Large Language Models (LLMs) offer potential for automating systematic reviews, a labor-intensive process in evidence-based medicine. We evaluated GPT-4o, GPT-4o-mini, and Llama 3.1:8B on abstract screening and risk of bias assessment using 12 Cochra...

High-performance automated abstract screening with large language model ensembles.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: screening is a labor-intensive component of systematic review involving repetitive application of inclusion and exclusion criteria on a large volume of studies. We aimed to validate large language models (LLMs) used to automate abstract sc...

Enhancing systematic literature reviews with generative artificial intelligence: development, applications, and performance evaluation.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: We developed and validated a large language model (LLM)-assisted system for conducting systematic literature reviews in health technology assessment (HTA) submissions.

Collaborative large language models for automated data extraction in living systematic reviews.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Data extraction from the published literature is the most laborious step in conducting living systematic reviews (LSRs). We aim to build a generalizable, automated data extraction workflow leveraging large language models (LLMs) that mimic...

Automated tools for systematic review screening methods: an application of machine learning for sexual orientation and gender identity measurement in health research.

Journal of the Medical Library Association : JMLA
OBJECTIVE: Sexual and gender minority (SGM) populations experience health disparities compared to heterosexual and cisgender populations. The development of accurate, comprehensive sexual orientation and gender identity (SOGI) measures is fundamental...

A question-answering framework for automated abstract screening using large language models.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: This paper aims to address the challenges in abstract screening within systematic reviews (SR) by leveraging the zero-shot capabilities of large language models (LLMs).

Towards Autonomous Living Meta-Analyses: A Framework for Automation of Systematic Review and Meta-Analyses.

Studies in health technology and informatics
Systematic review and meta-analysis constitute a staple of evidence-based medicine, an obligatory step in developing the guideline and recommendation document. It is a formalized process aiming at extracting and summarizing knowledge from the publish...