AIMC Topic: Information Storage and Retrieval

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Can large language models replace humans in systematic reviews? Evaluating GPT-4's efficacy in screening and extracting data from peer-reviewed and grey literature in multiple languages.

Research synthesis methods Mar 14, 2024
Systematic reviews are vital for guiding practice, research and policy, although they are often slow and labour-intensive. Large language models (LLMs) could speed up and automate systematic reviews, but their performance in such tasks has yet to be ...
Algorithms Reproducibility of Results Artificial Intelligence Machine Learning Systematic Reviews as Topic Natural Language Processing Information Storage and Retrieval
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Data extraction for evidence synthesis using a large language model: A proof-of-concept study.

Research synthesis methods Mar 3, 2024
Data extraction is a crucial, yet labor-intensive and error-prone part of evidence synthesis. To date, efforts to harness machine learning for enhancing efficiency of the data extraction process have fallen short of achieving sufficient accuracy and ...
Humans Reproducibility of Results Machine Learning Randomized Controlled Trials as Topic Software Research Design Natural Language Processing Algorithms Information Storage and Retrieval Language Systematic Reviews as Topic Proof of Concept Study
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AssistMED project: Transforming cardiology cohort characterisation from electronic health records through natural language processing - Algorithm design, preliminary results, and field prospects.

International journal of medical informatics Feb 19, 2024
INTRODUCTION: Electronic health records (EHR) are of great value for clinical research. However, EHR consists primarily of unstructured text which must be analysed by a human and coded into a database before data analysis- a time-consuming and costly...
Cardiology Natural Language Processing Information Storage and Retrieval Electronic Health Records Humans Algorithms
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Visualizing Clinical Data Retrieval and Curation in Multimodal Healthcare AI Research: A Technical Note on RIL-workflow.

Journal of imaging informatics in medicine Feb 16, 2024
Curating and integrating data from sources are bottlenecks to procuring robust training datasets for artificial intelligence (AI) models in healthcare. While numerous applications can process discrete types of clinical data, it is still time-consumin...
Information Storage and Retrieval Data Curation Workflow Humans Artificial Intelligence User-Computer Interface
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Retrieval augmentation of large language models for lay language generation.

Journal of biomedical informatics Dec 30, 2023
The complex linguistic structures and specialized terminology of expert-authored content limit the accessibility of biomedical literature to the general public. Automated methods have the potential to render this literature more interpretable to read...
Language Natural Language Processing Unified Medical Language System Information Storage and Retrieval Linguistics
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Year 2022 in Medical Natural Language Processing: Availability of Language Models as a Step in the Democratization of NLP in the Biomedical Area.

Yearbook of medical informatics Dec 26, 2023
OBJECTIVES: To analyse the content of publications within the medical Natural Language Processing (NLP) domain in 2022.
Humans Natural Language Processing Information Storage and Retrieval
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Exploring the Latest Highlights in Medical Natural Language Processing across Multiple Languages: A Survey.

Yearbook of medical informatics Dec 26, 2023
OBJECTIVES: This survey aims to provide an overview of the current state of biomedical and clinical Natural Language Processing (NLP) research and practice in Languages other than English (LoE). We pay special attention to data resources, language mo...
Language Biomedical Research Natural Language Processing Databases, Factual Information Storage and Retrieval
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Quantifying confidence shifts in a BERT-based question answering system evaluated on perturbed instances.

PloS one Dec 20, 2023
Recent work on transformer-based neural networks has led to impressive advances on multiple-choice natural language processing (NLP) problems, such as Question Answering (QA) and abductive reasoning. Despite these advances, there is limited work stil...
Information Storage and Retrieval Neural Networks, Computer Natural Language Processing Humans
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Fine-tuning coreference resolution for different styles of clinical narratives.

Journal of biomedical informatics Dec 18, 2023
OBJECTIVE: Coreference resolution (CR) is a natural language processing (NLP) task that is concerned with finding all expressions within a single document that refer to the same entity. This makes it crucial in supporting downstream NLP tasks such as...
Humans Neural Networks, Computer Narration Natural Language Processing Empirical Research Information Storage and Retrieval
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AI-based article screening.

British dental journal Dec 15, 2023
Data Mining Information Storage and Retrieval Artificial Intelligence
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