AIMC Topic: Natural Language Processing

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An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C).

Journal of the American Medical Informatics Association : JAMIA
Despite recent methodology advancements in clinical natural language processing (NLP), the adoption of clinical NLP models within the translational research community remains hindered by process heterogeneity and human factor variations. Concurrently...

LeafAI: query generator for clinical cohort discovery rivaling a human programmer.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Identifying study-eligible patients within clinical databases is a critical step in clinical research. However, accurate query design typically requires extensive technical and biomedical expertise. We sought to create a system capable of ...

Clinical Acronym Disambiguation via ChatGPT and BING.

Studies in health technology and informatics
Clinical texts are written with acronyms, abbreviations and medical jargon expressions to save time. This hinders full comprehension not just for medical experts but also laypeople. This paper attempts to disambiguate acronyms with their given contex...

The use of natural language processing in detecting and predicting falls within the healthcare setting: a systematic review.

International journal for quality in health care : journal of the International Society for Quality in Health Care
Falls are a common problem associated with significant morbidity, mortality, and economic costs. Current fall prevention policies in local healthcare settings are often guided by information provided by fall risk assessment tools, incident reporting,...

Artificial intelligence-aided protein engineering: from topological data analysis to deep protein language models.

Briefings in bioinformatics
Protein engineering is an emerging field in biotechnology that has the potential to revolutionize various areas, such as antibody design, drug discovery, food security, ecology, and more. However, the mutational space involved is too vast to be handl...

DeepPhe-CR: Natural Language Processing Software Services for Cancer Registrar Case Abstraction.

JCO clinical cancer informatics
PURPOSE: Manual extraction of case details from patient records for cancer surveillance is a resource-intensive task. Natural Language Processing (NLP) techniques have been proposed for automating the identification of key details in clinical notes. ...