AIMC Topic: PubMed
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Artificial intelligence predicts lung cancer radiotherapy response: A meta-analysis.
Artificial intelligence in medicine
May 20, 2023
BACKGROUND: Artificial intelligence (AI) technology has clustered patients based on clinical features into sub-clusters to stratify high-risk and low-risk groups to predict outcomes in lung cancer after radiotherapy and has gained much more attention...
Deep learning to refine the identification of high-quality clinical research articles from the biomedical literature: Performance evaluation.
Journal of biomedical informatics
May 8, 2023
BACKGROUND: Identifying practice-ready evidence-based journal articles in medicine is a challenge due to the sheer volume of biomedical research publications. Newer approaches to support evidence discovery apply deep learning techniques to improve th...
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.
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