AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Publications

Showing 131 to 140 of 156 articles

Clear Filters

Contexts and contradictions: a roadmap for computational drug repurposing with knowledge inference.

Briefings in bioinformatics
The cost of drug development continues to rise and may be prohibitive in cases of unmet clinical need, particularly for rare diseases. Artificial intelligence-based methods are promising in their potential to discover new treatment options. The task ...

Automated medical literature screening using artificial intelligence: a systematic review and meta-analysis.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: We aim to investigate the application and accuracy of artificial intelligence (AI) methods for automated medical literature screening for systematic reviews.

BioBERT and Similar Approaches for Relation Extraction.

Methods in molecular biology (Clifton, N.J.)
In biomedicine, facts about relations between entities (disease, gene, drug, etc.) are hidden in the large trove of 30 million scientific publications. The curated information is proven to play an important role in various applications such as drug r...

Biomedical Literature Mining for Repurposing Laboratory Tests.

Methods in molecular biology (Clifton, N.J.)
Epidemiological studies identifying biological markers of disease state are valuable, but can be time-consuming, expensive, and require extensive intuition and expertise. Furthermore, not all hypothesized markers will be borne out in a study, suggest...

Artificial Intelligence and Machine Learning in Cancer Research: A Systematic and Thematic Analysis of the Top 100 Cited Articles Indexed in Scopus Database.

Cancer control : journal of the Moffitt Cancer Center
INTRODUCTION: Cancer is a major public health problem and a global leading cause of death where the screening, diagnosis, prediction, survival estimation, and treatment of cancer and control measures are still a major challenge. The rise of Artificia...

MELODI Presto: a fast and agile tool to explore semantic triples derived from biomedical literature.

Bioinformatics (Oxford, England)
SUMMARY: The field of literature-based discovery is growing in step with the volume of literature being produced. From modern natural language processing algorithms to high quality entity tagging, the methods and their impact are developing rapidly. ...

Large-scale entity representation learning for biomedical relationship extraction.

Bioinformatics (Oxford, England)
MOTIVATION: The automatic extraction of published relationships between molecular entities has important applications in many biomedical fields, ranging from Systems Biology to Personalized Medicine. Existing works focused on extracting relationships...

Using Neural Networks for Relation Extraction from Biomedical Literature.

Methods in molecular biology (Clifton, N.J.)
Using different sources of information to support automated extracting of relations between biomedical concepts contributes to the development of our understanding of biological systems. The primary comprehensive source of these relations is biomedic...

Forty-two Million Ways to Describe Pain: Topic Modeling of 200,000 PubMed Pain-Related Abstracts Using Natural Language Processing and Deep Learning-Based Text Generation.

Pain medicine (Malden, Mass.)
OBJECTIVE: Recent efforts to update the definitions and taxonomic structure of concepts related to pain have revealed opportunities to better quantify topics of existing pain research subject areas.