AIMC Topic: Systematic Reviews as Topic

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Extractive text summarization system to aid data extraction from full text in systematic review development.

Journal of biomedical informatics
OBJECTIVES: Extracting data from publication reports is a standard process in systematic review (SR) development. However, the data extraction process still relies too much on manual effort which is slow, costly, and subject to human error. In this s...

SWIFT-Review: a text-mining workbench for systematic review.

Systematic reviews
BACKGROUND: There is growing interest in using machine learning approaches to priority rank studies and reduce human burden in screening literature when conducting systematic reviews. In addition, identifying addressable questions during the problem ...

Collating the knowledge base for core outcome set development: developing and appraising the search strategy for a systematic review.

BMC medical research methodology
BACKGROUND: The COMET (Core Outcome Measures in Effectiveness Trials) Initiative is developing a publicly accessible online resource to collate the knowledge base for core outcome set development (COS) and the applied work from different health condi...

Google Scholar as a Resource for Systematic Reviews in Clinical Medicine.

Journal of evaluation in clinical practice
BACKGROUND: Authors of systematic reviews must select, among several options, the databases for searching articles for inclusion in their analyses. Google Scholar is readily available, easy to use, and widely accepted for everyday information searche...

Enhancing search strategies for systematic reviews on drug Harms: An evaluation of the utility of ChatGPT in error detection and keyword generation.

Computers in biology and medicine
OBJECTIVE: Developing search strategies for synthesizing evidence on drug harms requires specialized expertise and knowledge. The aim of this study was to evaluate ChatGPT's ability to enhance search strategies for systematic reviews of drug harms by...

A systematic methodological evaluation of sepsis guidelines: Protocol for quality assessment and consistency of recommendations.

Acta anaesthesiologica Scandinavica
BACKGROUND: Sepsis is a leading cause of mortality worldwide, characterized by a dysregulated host response to infection. Despite the development of multiple clinical practice guidelines (CPGs) to standardize sepsis management, substantial variabilit...

Artificial intelligence for difficult airway assessment: a protocol for a systematic review with meta-analysis.

BMJ open
INTRODUCTION: Identifying difficult airways and avoiding unanticipated difficult airways through difficult airway assessment are crucial for patient safety prior to airway management. Therefore, accurately predicting difficult airways through airway ...

AI-DRIVEN NASOALVEOLAR MOLDING DESIGN FOR CLEFT PATIENTS MAY BE A PROMISING BUT EVOLVING APPROACH.

The journal of evidence-based dental practice
ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Artificial intelligence-driven automation of nasoalveolar molding device planning: A systematic review. Alqutaibi AY, Hamadallah HH, Alassaf MS, Othman AA, Qazali AA, Alghauli MA. J Prosthet Dent. 2024 Oct...

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...