Natural language processing for smart healthcare
Smart healthcare has achieved significant progress in recent years. Emerging artificial
intelligence (AI) technologies enable various smart applications across various healthcare …
intelligence (AI) technologies enable various smart applications across various healthcare …
Diagnostic accuracy of differential-diagnosis lists generated by generative pretrained transformer 3 chatbot for clinical vignettes with common chief complaints: a pilot …
The diagnostic accuracy of differential diagnoses generated by artificial intelligence (AI)
chatbots, including the generative pretrained transformer 3 (GPT-3) chatbot (ChatGPT-3) is …
chatbots, including the generative pretrained transformer 3 (GPT-3) chatbot (ChatGPT-3) is …
Learning to ask like a physician
Existing question answering (QA) datasets derived from electronic health records (EHR) are
artificially generated and consequently fail to capture realistic physician information needs …
artificially generated and consequently fail to capture realistic physician information needs …
Survey on the Biomedical Text Summarization Techniques with an Emphasis on Databases, Techniques, Semantic Approaches, Classification Techniques, and …
Biomedical text summarization (BTS) is proving to be an emerging area of work and
research with the need for sustainable healthcare applications such as evidence-based …
research with the need for sustainable healthcare applications such as evidence-based …
[HTML][HTML] A phrase-based questionnaire–answering approach for automatic initial frailty assessment based on clinical notes
Frailty stands out as a particularly challenging multidimensional geriatric syndrome in the
elderly population, often resulting in diminished quality of life and heightened mortality risk …
elderly population, often resulting in diminished quality of life and heightened mortality risk …
Rare-class dialogue act tagging for Alzheimer's disease diagnosis
Alzheimer's Disease (AD) is associated with many characteristic changes, not only in an
individual's language but also in the interactive patterns observed in dialogue. The most …
individual's language but also in the interactive patterns observed in dialogue. The most …
Hierarchical Topic Model Inference by Community Discovery on Word Co-occurrence Networks
The most popular topic modelling algorithm, Latent Dirichlet Allocation, produces a simple
set of topics. However, topics naturally exist in a hierarchy with larger, more general super …
set of topics. However, topics naturally exist in a hierarchy with larger, more general super …
[HTML][HTML] What would it take to get biomedical QA systems into practice?
Medical question answering (QA) systems have the potential to answer clinicians'
uncertainties about treatment and diagnosis on-demand, informed by the latest evidence …
uncertainties about treatment and diagnosis on-demand, informed by the latest evidence …
UMLS-Based Question-Answering Approach for Automatic Initial Frailty Assessment
Frailty is the most problematic multidimensional geriatric syndrome among elderly
population that leads to poor quality of life and increased risk of death. Adverse effects …
population that leads to poor quality of life and increased risk of death. Adverse effects …
Clinical Natural Language Processing Systems for Information Retrieval from Unstructured Medical Narratives
Health-related data are often stored in the form of descriptive documents that are highly
unstructured, making it hard for machines to understand. Clinical Natural Language …
unstructured, making it hard for machines to understand. Clinical Natural Language …