AIMC Topic: Information Storage and Retrieval
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Learning on the job: using Artificial Intelligence to support rapid review methods.
Journal of the Medical Library Association : JMLA
May 22, 2024
Getting to Know Named Entity Recognition: Better Information Retrieval.
Medical reference services quarterly
May 9, 2024
Named entity recognition (NER) is a powerful computer system that utilizes various computing strategies to extract information from raw text input, since the early 1990s. With rapid advancement in AI and computing, NER models have gained significant ...
Remote sensing image information extraction based on Compensated Fuzzy Neural Network and big data analytics.
BMC medical imaging
Apr 10, 2024
Medical imaging AI systems and big data analytics have attracted much attention from researchers of industry and academia. The application of medical imaging AI systems and big data analytics play an important role in the technology of content based ...
Practical use case of natural language processing for observational clinical research data retrieval from electronic health records: AssistMED project.
Polish archives of internal medicine
Mar 19, 2024
INTRODUCTION: Electronic health records (EHRs) contain data valuable for clinical research. However, they are in textual format and require manual encoding to databases, which is a lengthy and costly process. Natural language processing (NLP) is a co...
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 ...
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 ...
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...
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...
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...
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.
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