AIMC Topic: Electronic Health Records
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Tailoring Risk Prediction Models to Local Populations.
JAMA cardiology
Nov 1, 2024
IMPORTANCE: Risk estimation is an integral part of cardiovascular care. Local recalibration of guideline-recommended models could address the limitations of existing tools.
CACER: Clinical concept Annotations for Cancer Events and Relations.
Journal of the American Medical Informatics Association : JAMIA
Nov 1, 2024
OBJECTIVE: Clinical notes contain unstructured representations of patient histories, including the relationships between medical problems and prescription drugs. To investigate the relationship between cancer drugs and their associated symptom burden...
Generating colloquial radiology reports with large language models.
Journal of the American Medical Informatics Association : JAMIA
Nov 1, 2024
OBJECTIVES: Patients are increasingly being given direct access to their medical records. However, radiology reports are written for clinicians and typically contain medical jargon, which can be confusing. One solution is for radiologists to provide ...
Utilizing active learning strategies in machine-assisted annotation for clinical named entity recognition: a comprehensive analysis considering annotation costs and target effectiveness.
Journal of the American Medical Informatics Association : JAMIA
Nov 1, 2024
OBJECTIVES: Active learning (AL) has rarely integrated diversity-based and uncertainty-based strategies into a dynamic sampling framework for clinical named entity recognition (NER). Machine-assisted annotation is becoming popular for creating gold-s...
TrajVis: a visual clinical decision support system to translate artificial intelligence trajectory models in the precision management of chronic kidney disease.
Journal of the American Medical Informatics Association : JAMIA
Nov 1, 2024
OBJECTIVE: Our objective is to develop and validate TrajVis, an interactive tool that assists clinicians in using artificial intelligence (AI) models to leverage patients' longitudinal electronic medical records (EMRs) for personalized precision mana...
Adapting Large Language Models for Automated Summarisation of Electronic Medical Records in Clinical Coding.
Studies in health technology and informatics
Sep 24, 2024
Encapsulating a patient's clinical narrative into a condensed, informative summary is indispensable to clinical coding. The intricate nature of the clinical text makes the summarisation process challenging for clinical coders. Recent developments in ...
Building a Natural Language Interface for FHIR Clinical Terminology Server.
Studies in health technology and informatics
Sep 24, 2024
While Fast Healthcare Interoperability Resources (FHIR) clinical terminology server enables quick and easy search and retrieval of coded medical data, it still has some drawbacks. When searching, any typographical errors, variations in word forms, or...
Early identification of patients at risk for iron-deficiency anemia using deep learning techniques.
American journal of clinical pathology
Sep 3, 2024
OBJECTIVES: Iron-deficiency anemia (IDA) is a common health problem worldwide, and up to 10% of adult patients with incidental IDA may have gastrointestinal cancer. A diagnosis of IDA can be established through a combination of laboratory tests, but ...
Harnessing Natural Language Processing to Assess Quality of End-of-Life Care for Children With Cancer.
JCO clinical cancer informatics
Sep 1, 2024
PURPOSE: Data on end-of-life care (EOLC) quality, assessed through evidence-based quality measures (QMs), are difficult to obtain. Natural language processing (NLP) enables efficient quality measurement and is not yet used for children with serious i...
Validation of Non-Small Cell Lung Cancer Clinical Insights Using a Generalized Oncology Natural Language Processing Model.
JCO clinical cancer informatics
Sep 1, 2024
PURPOSE: Limited studies have used natural language processing (NLP) in the context of non-small cell lung cancer (NSCLC). This study aimed to validate the application of an NLP model to an NSCLC cohort by extracting NSCLC concepts from free-text med...
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