AIMC Topic: PubMed
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Strengths and limitations of new artificial intelligence tool for rare disease epidemiology.
Journal of translational medicine
Apr 30, 2023
The recent paper by Kariampuzha et al. describes an exciting application of artificial intelligence to rare disease epidemiology. The authors' AI model appears to offer a major leap over Orphanet, the resource which is often a "first stop" for basic ...
Enabling Scientific Reproducibility through FAIR Data Management: An ontology-driven deep learning approach in the NeuroBridge Project.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 29, 2023
Scientific reproducibility that effectively leverages existing study data is critical to the advancement of research in many disciplines including neuroscience, which uses imaging and electrophysiology modalities as primary endpoints or key dependenc...
Transforming epilepsy research: A systematic review on natural language processing applications.
Epilepsia
Dec 19, 2022
Despite improved ancillary investigations in epilepsy care, patients' narratives remain indispensable for diagnosing and treatment monitoring. This wealth of information is typically stored in electronic health records and accumulated in medical jour...
Applications of Artificial Intelligence to Obesity Research: Scoping Review of Methodologies.
Journal of medical Internet research
Dec 7, 2022
BACKGROUND: Obesity is a leading cause of preventable death worldwide. Artificial intelligence (AI), characterized by machine learning (ML) and deep learning (DL), has become an indispensable tool in obesity research.
The New Version of the ANDDigest Tool with Improved AI-Based Short Names Recognition.
International journal of molecular sciences
Nov 29, 2022
The body of scientific literature continues to grow annually. Over 1.5 million abstracts of biomedical publications were added to the PubMed database in 2021. Therefore, developing cognitive systems that provide a specialized search for information i...
MLM-based typographical error correction of unstructured medical texts for named entity recognition.
BMC bioinformatics
Nov 16, 2022
BACKGROUND: Unstructured text in medical records, such as Electronic Health Records, contain an enormous amount of valuable information for research; however, it is difficult to extract and structure important information because of frequent typograp...
PICO entity extraction for preclinical animal literature.
Systematic reviews
Sep 30, 2022
BACKGROUND: Natural language processing could assist multiple tasks in systematic reviews to reduce workflow, including the extraction of PICO elements such as study populations, interventions, comparators and outcomes. The PICO framework provides a ...
In a pilot study, automated real-time systematic review updates were feasible, accurate, and work-saving.
Journal of clinical epidemiology
Sep 20, 2022
OBJECTIVES: The aim of this study is to describe and pilot a novel method for continuously identifying newly published trials relevant to a systematic review, enabled by combining artificial intelligence (AI) with human expertise.
Natural Language Processing in Spine Surgery: A Systematic Review of Applications, Bias, and Reporting Transparency.
World neurosurgery
Aug 30, 2022
BACKGROUND: Natural language processing (NLP) is a discipline of machine learning concerned with the analysis of language and text. Although NLP has been applied to various forms of clinical text, the applications and utility of NLP in spine surgery ...
A Narrative Literature Review of Natural Language Processing Applied to the Occupational Exposome.
International journal of environmental research and public health
Jul 13, 2022
UNLABELLED: The evolution of the Exposome concept revolutionised the research in exposure assessment and epidemiology by introducing the need for a more holistic approach on the exploration of the relationship between the environment and disease. At ...
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