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The Growing Impact of Natural Language Processing in Healthcare and Public Health
Natural Language Processing (NLP) is a subset of Artificial Intelligence, specifically focused
on understanding and generating human language. NLP technologies are becoming more …
on understanding and generating human language. NLP technologies are becoming more …
[HTML][HTML] Bibliometric analysis of natural language processing using CiteSpace and VOSviewer
X Chen, W Tian, H Fang - Natural Language Processing Journal, 2024 - Elsevier
Abstract Natural Language Processing (NLP) holds a pivotal position in the domains of
computer science and artificial intelligence (AI). Its focus is on exploring and develo** …
computer science and artificial intelligence (AI). Its focus is on exploring and develo** …
Development of medical imaging data standardization for imaging-based observational research: OMOP common data model extension
WY Park, K Jeon, TS Schmidt, H Kondylakis… - Journal of Imaging …, 2024 - Springer
The rapid growth of artificial intelligence (AI) and deep learning techniques require access to
large inter-institutional cohorts of data to enable the development of robust models, eg …
large inter-institutional cohorts of data to enable the development of robust models, eg …
Advancing medical imaging research through standardization: The path to rapid development, rigorous validation, and robust reproducibility
Artificial intelligence (AI) has made significant advances in radiology. Nonetheless,
challenges in AI development, validation, and reproducibility persist, primarily due to the …
challenges in AI development, validation, and reproducibility persist, primarily due to the …
Large Language Models for Social Determinants of Health Information Extraction from Clinical Notes–A Generalizable Approach across Institutions
The consistent and persuasive evidence illustrating the influence of social determinants on
health has prompted a growing realization throughout the health care sector that enhancing …
health has prompted a growing realization throughout the health care sector that enhancing …
Generative AI for Health Technology Assessment: Opportunities, Challenges, and Policy Considerations-an ISPOR Working Group Report
Objective To provide an introduction to the uses of generative Artificial Intelligence (AI) and
foundation models, including large language models (LLMs), in the field of health …
foundation models, including large language models (LLMs), in the field of health …
Generative AI for Health Technology Assessment: Opportunities, Challenges, and Policy Considerations
This review introduces the transformative potential of generative Artificial Intelligence (AI)
and foundation models, including large language models (LLMs), for health technology …
and foundation models, including large language models (LLMs), for health technology …
Medical Concept Normalization
Medical concept normalization, which maps clinical entities to concepts in standard
terminology, is essential for supporting downstream computational applications in clinical …
terminology, is essential for supporting downstream computational applications in clinical …
Making causal inferences from transactional data: A narrative review of opportunities and challenges when implementing the target trial framework
The target trial framework has emerged as a powerful tool for addressing causal questions
in clinical practice and in public health. In the healthcare sector, where decision-making is …
in clinical practice and in public health. In the healthcare sector, where decision-making is …
NLP applications—clinical documents
This chapter examines the advancement of digitalization in healthcare, focusing on the
critical role of natural language processing (NLP) in extracting valuable insights from clinical …
critical role of natural language processing (NLP) in extracting valuable insights from clinical …