AIMC Topic: PubMed

Clear Filters Showing 11 to 20 of 154 articles

EnzChemRED, a rich enzyme chemistry relation extraction dataset.

Scientific data Sep 9, 2024
Expert curation is essential to capture knowledge of enzyme functions from the scientific literature in FAIR open knowledgebases but cannot keep pace with the rate of new discoveries and new publications. In this work we present EnzChemRED, for Enzym...
Databases, Protein Knowledge Bases Enzymes Natural Language Processing PubMed
View on PubMed DOI

VAIV bio-discovery service using transformer model and retrieval augmented generation.

BMC bioinformatics Aug 21, 2024
BACKGROUND: There has been a considerable advancement in AI technologies like LLM and machine learning to support biomedical knowledge discovery.
Knowledge Discovery Information Storage and Retrieval Search Engine Machine Learning Natural Language Processing PubMed Data Mining Neural Networks, Computer
View on PubMed DOI

Artificial INtelligence to Support Informed DEcision-making (INSIDE) for Improved Literature Analysis in Oncology.

European urology focus Jun 13, 2024
BACKGROUND: Defining optimal therapeutic sequencing strategies in prostate cancer (PC) is challenging and may be assisted by artificial intelligence (AI)-based tools for an analysis of the medical literature.
PubMed Medical Oncology Decision Making Prostatic Neoplasms Humans Artificial Intelligence Male
View on PubMed DOI

Improving biomedical Named Entity Recognition with additional external contexts.

Journal of biomedical informatics Jun 11, 2024
OBJECTIVE: Biomedical Named Entity Recognition (bio NER) is the task of recognizing named entities in biomedical texts. This paper introduces a new model that addresses bio NER by considering additional external contexts. Different from prior methods...
Natural Language Processing PubMed Humans Algorithms Data Mining Medical Informatics Semantics
View on PubMed DOI

Enhancing the coverage of SemRep using a relation classification approach.

Journal of biomedical informatics May 21, 2024
OBJECTIVE: Relation extraction is an essential task in the field of biomedical literature mining and offers significant benefits for various downstream applications, including database curation, drug repurposing, and literature-based discovery. The b...
Humans Algorithms Databases, Factual Natural Language Processing MEDLINE Data Mining Semantics PubMed
View on PubMed DOI

PubMed and beyond: biomedical literature search in the age of artificial intelligence.

EBioMedicine Feb 1, 2024
Biomedical research yields vast information, much of which is only accessible through the literature. Consequently, literature search is crucial for healthcare and biomedicine. Recent improvements in artificial intelligence (AI) have expanded functio...
Humans Artificial Intelligence PubMed Delivery of Health Care Data Mining Biomedical Research
View on PubMed DOI

Trends and insights about cardiac arrest and artificial intelligence on PubMed using ChatGPT-4.

Resuscitation Jan 26, 2024
PubMed Heart Arrest Humans Artificial Intelligence
View on PubMed DOI

Evidence of Age Estimation Procedures in Forensic Dentistry: Results from an Umbrella Review.

Medicina (Kaunas, Lithuania) Dec 25, 2023
: Age estimation is an important tool when dealing with human remains or undocumented minors. Although the skull, the skeleton or the hand-wrist are used in age estimation as maturity indicators, they often present a lack of good conditions for a cor...
Forensic Dentistry PubMed Radiopharmaceuticals Artificial Intelligence Humans Databases, Factual
View on PubMed DOI

IDPpub: Illuminating the Dark Phosphoproteome Through PubMed Mining.

Molecular & cellular proteomics : MCP Nov 21, 2023
Global phosphoproteomics experiments quantify tens of thousands of phosphorylation sites. However, data interpretation is hampered by our limited knowledge on functions, biological contexts, or precipitating enzymes of the phosphosites. This study es...
Databases, Factual Natural Language Processing Humans PubMed Data Mining
View on PubMed DOI

Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic review.

Artificial intelligence in medicine Nov 1, 2023
OBJECTIVE: Natural language processing (NLP) combined with machine learning (ML) techniques are increasingly used to process unstructured/free-text patient-reported outcome (PRO) data available in electronic health records (EHRs). This systematic rev...
Natural Language Processing PubMed Machine Learning Electronic Health Records Patient Outcome Assessment Humans
View on PubMed DOI
Popular Topics
Recent Journals