AIMC Topic: Publications
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Identifying technologies in circular economy paradigm through text mining on scientific literature.
PloS one
Dec 27, 2024
Technological innovation serves as the catalyst for the shift towards circular practices. Technologies not only address technical challenges, facilitating the transition to a more circular economy, but they also enhance business efficiency and profit...
Instant prediction of scientific paper cited potential based on semantic and metadata features: Taking artificial intelligence field as an example.
PloS one
Dec 2, 2024
With the continuous increase in the number of academic researchers, the volume of scientific papers is also increasing rapidly. The challenge of identifying papers with greater potential academic impact from this large pool has received increasing at...
A deep neural network model for classifying pharmacy practice publications into research domains.
Research in social & administrative pharmacy : RSAP
Nov 5, 2024
BACKGROUND: Pharmacy practice faculty research profiles extend beyond the clinical and social domains, which are core elements of pharmacy practice. But as highlighted by journal editors in the Granada Statements, there is no consensus on these terms...
An Accurate and Efficient Approach to Knowledge Extraction from Scientific Publications Using Structured Ontology Models, Graph Neural Networks, and Large Language Models.
International journal of molecular sciences
Nov 3, 2024
The rapid growth of biomedical literature makes it challenging for researchers to stay current. Integrating knowledge from various sources is crucial for studying complex biological systems. Traditional text-mining methods often have limited accuracy...
Development and evaluation of a model to identify publications on the clinical impact of pharmacist interventions.
Research in social & administrative pharmacy : RSAP
Sep 19, 2024
BACKGROUND: Pharmacists are increasingly involved in patient care. Pharmacy practice research helps them identify the most clinically meaningful interventions. However, the lack of a widely accepted controlled vocabulary in this field hinders the dis...
The global geography of artificial intelligence in life science research.
Nature communications
Sep 12, 2024
Artificial intelligence (AI) promises to transform medicine, but the geographic concentration of AI expertize may hinder its equitable application. We analyze 397,967 AI life science research publications from 2000 to 2022 and 14.5 million associated...
Analysis of international publication trends in artificial intelligence in skin cancer.
Clinics in dermatology
Sep 10, 2024
Bibliometric methods were used to analyze publications on the use of artificial intelligence (AI) in skin cancer from 2010 to 2022, aiming to explore current publication trends and future directions. A comprehensive search using four terms, "artifici...
Predicting the Utility of Scientific Articles for Emerging Pandemics Using Their Titles and Natural Language Processing.
Disaster medicine and public health preparedness
May 10, 2024
OBJECTIVE: Not all scientific publications are equally useful to policy-makers tasked with mitigating the spread and impact of diseases, especially at the start of novel epidemics and pandemics. The urgent need for actionable, evidence-based informat...
Automatic categorization of self-acknowledged limitations in randomized controlled trial publications.
Journal of biomedical informatics
Mar 26, 2024
OBJECTIVE: Acknowledging study limitations in a scientific publication is a crucial element in scientific transparency and progress. However, limitation reporting is often inadequate. Natural language processing (NLP) methods could support automated ...
Medical long-tailed learning for imbalanced data: Bibliometric analysis.
Computer methods and programs in biomedicine
Feb 29, 2024
BACKGROUND: In the last decade, long-tail learning has become a popular research focus in deep learning applications in medicine. However, no scientometric reports have provided a systematic overview of this scientific field. We utilized bibliometric...
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