AIMC Topic: Information Storage and Retrieval
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Empowering PET imaging reporting with retrieval-augmented large language models and reading reports database: a pilot single center study.
European journal of nuclear medicine and molecular imaging
Jan 23, 2025
PURPOSE: The potential of Large Language Models (LLMs) in enhancing a variety of natural language tasks in clinical fields includes medical imaging reporting. This pilot study examines the efficacy of a retrieval-augmented generation (RAG) LLM system...
Large language models for data extraction from unstructured and semi-structured electronic health records: a multiple model performance evaluation.
BMJ health & care informatics
Jan 19, 2025
OBJECTIVES: We aimed to evaluate the performance of multiple large language models (LLMs) in data extraction from unstructured and semi-structured electronic health records.
ChatGPT and oral cancer: a study on informational reliability.
BMC oral health
Jan 17, 2025
BACKGROUND: Artificial intelligence (AI) and large language models (LLMs) like ChatGPT have transformed information retrieval, including in healthcare. ChatGPT, trained on diverse datasets, can provide medical advice but faces ethical and accuracy co...
BiomedRAG: A retrieval augmented large language model for biomedicine.
Journal of biomedical informatics
Jan 13, 2025
Retrieval-augmented generation (RAG) involves a solution by retrieving knowledge from an established database to enhance the performance of large language models (LLM). , these models retrieve information at the sentence or paragraph level, potential...
Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study.
Journal of medical Internet research
Jan 6, 2025
BACKGROUND: The increasing use of social media to share lived and living experiences of substance use presents a unique opportunity to obtain information on side effects, use patterns, and opinions on novel psychoactive substances. However, due to th...
StUdy of Gestational diabetes And Risk using Electronic Data (SUGARED): a population-based cohort study-study protocol.
BMJ open
Dec 26, 2024
INTRODUCTION: The incidence of gestational diabetes mellitus (GDM) in Australia has tripled in the last 20 years. Consequently, over 40 000 pregnancies are now diagnosed as 'higher risk' each year. This has increased antenatal surveillance and obstet...
Predictive Learning Models
Pregnancy Outcome
Hospitals, Public
Logistic Models
Routinely Collected Health Data
Multilevel Analysis
Observational Studies as Topic
Humans
Risk Assessment
New South Wales
Incidence
Research Design
Pregnancy
Information Storage and Retrieval
Diabetes, Gestational
Female
Retrospective Studies
Propensity Score
Glucose Tolerance Test
Delivery, Obstetric
Improving search strategies in bibliometric studies on machine learning in renal medicine.
International urology and nephrology
Dec 23, 2024
This paper evaluated the bibliometric study by Li et al. (Int Urol Nephrol, 2024) on machine learning in renal medicine. Although the study claims to summarize the forefront trends and hotspots in this field, several key issues require further clarif...
Utility of Chatbot Literature Search in Radiation Oncology.
Journal of cancer education : the official journal of the American Association for Cancer Education
Dec 14, 2024
Artificial intelligence and natural language processing tools have shown promise in oncology by assisting with medical literature retrieval and providing patient support. The potential for these technologies to generate inaccurate yet seemingly corre...
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...
PICOT questions and search strategies formulation: A novel approach using artificial intelligence automation.
Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing
Nov 24, 2024
AIM: The aim of this study was to evaluate and compare artificial intelligence (AI)-based large language models (LLMs) (ChatGPT-3.5, Bing, and Bard) with human-based formulations in generating relevant clinical queries, using comprehensive methodolog...
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