AI Medical Compendium Topic:
Information Storage and Retrieval

Clear Filters Showing 491 to 500 of 676 articles

Integrating PICO principles into generative artificial intelligence prompt engineering to enhance information retrieval for medical librarians.

Journal of the Medical Library Association : JMLA Apr 18, 2025
Prompt engineering, an emergent discipline at the intersection of Generative Artificial Intelligence (GAI), library science, and user experience design, presents an opportunity to enhance the quality and precision of information retrieval. An innovat...
Librarians Information Storage and Retrieval Libraries, Medical Humans Artificial Intelligence Generative Artificial Intelligence
View on PubMed DOI

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

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2025
OBJECTIVES: We developed and validated a large language model (LLM)-assisted system for conducting systematic literature reviews in health technology assessment (HTA) submissions.
Systematic Reviews as Topic Technology Assessment, Biomedical Information Storage and Retrieval Artificial Intelligence Humans Generative Artificial Intelligence
View on PubMed DOI

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

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2025
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...
Workflow Data Mining Natural Language Processing Systematic Reviews as Topic Information Storage and Retrieval Large Language Models Humans
View on PubMed DOI

Improving large language model applications in biomedicine with retrieval-augmented generation: a systematic review, meta-analysis, and clinical development guidelines.

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2025
OBJECTIVE: The objectives of this study are to synthesize findings from recent research of retrieval-augmented generation (RAG) and large language models (LLMs) in biomedicine and provide clinical development guidelines to improve effectiveness.
Humans Information Storage and Retrieval Large Language Models Natural Language Processing Programming Languages
View on PubMed DOI

Semi-supervised learning from small annotated data and large unlabeled data for fine-grained Participants, Intervention, Comparison, and Outcomes entity recognition.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2025
OBJECTIVE: Extracting PICO elements-Participants, Intervention, Comparison, and Outcomes-from clinical trial literature is essential for clinical evidence retrieval, appraisal, and synthesis. Existing approaches do not distinguish the attributes of P...
Supervised Machine Learning Data Mining Humans Natural Language Processing Information Storage and Retrieval Clinical Trials as Topic
View on PubMed DOI

RAMIE: retrieval-augmented multi-task information extraction with large language models on dietary supplements.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2025
OBJECTIVE: To develop an advanced multi-task large language model (LLM) framework for extracting diverse types of information about dietary supplements (DSs) from clinical records.
Humans Electronic Health Records Large Language Models Data Mining Information Storage and Retrieval Dietary Supplements Natural Language Processing
View on PubMed DOI

Lessons learned on information retrieval in electronic health records: a comparison of embedding models and pooling strategies.

Journal of the American Medical Informatics Association : JAMIA Feb 1, 2025
OBJECTIVES: Applying large language models (LLMs) to the clinical domain is challenging due to the context-heavy nature of processing medical records. Retrieval-augmented generation (RAG) offers a solution by facilitating reasoning over large text so...
Humans Electronic Health Records Natural Language Processing Information Storage and Retrieval
View on PubMed DOI

Evaluating a large language model's ability to answer clinicians' requests for evidence summaries.

Journal of the Medical Library Association : JMLA Jan 14, 2025
OBJECTIVE: This study investigated the performance of a generative artificial intelligence (AI) tool using GPT-4 in answering clinical questions in comparison with medical librarians' gold-standard evidence syntheses.
Humans Artificial Intelligence Language Information Storage and Retrieval Libraries, Medical Evidence-Based Medicine Librarians Large Language Models
View on PubMed DOI

Leveraging AI tools for streamlined library event planning: a case study from Lane Medical Library.

Journal of the Medical Library Association : JMLA Jan 14, 2025
Health sciences and hospital libraries often face challenges in planning and organizing events due to limited resources and staff. At Stanford School of Medicine's Lane Library, librarians turned to artificial intelligence (AI) tools to address this ...
Organizational Case Studies Librarians Libraries, Medical Humans Artificial Intelligence Efficiency, Organizational Information Storage and Retrieval
View on PubMed DOI

Handwritten Data Extraction Using OpenAI ChatGPT4o and Robotic Process Automation.

Studies in health technology and informatics Nov 22, 2024
This paper proposes to create an Robotic Process Automation style application that can digitalize and extract data from handwritten medical forms. The RPA robot uses OpenAI ChatGPT4o model to extract handwritten medical data and transform it into typ...
Humans Information Storage and Retrieval Machine Learning Handwriting Electronic Health Records Robotics
View on PubMed DOI
Popular Topics
Recent Journals