Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Nursing Clinical Information System01:27

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
Ultrasonography01:17

Ultrasonography

Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called a...
Specialized Care Centers and Settings-II01:30

Specialized Care Centers and Settings-II

Rural Health Centers
Rural health centers are specialized care facilities in remote locations with very few medical personnel. The primary care providers who run the centers are mostly Registered Nurse Practitioners. Here, emergency treatment is provided to critically ill or injured patients before they are transferred to the closest hospital. Fortunately, due to advancement in technology, many rural healthcare facilities and professionals have easy access to diagnostic and treatment...
Concepts of Health and Illness01:29

Concepts of Health and Illness

Health is a condition of the body, mind, and spirit where an individual remains free from illness. Similarly, wellness is an active state, including living a lifestyle that promotes physical, mental, and emotional health. Physical health is critical for the overall well-being and can be affected by lifestyle, activity level, diet, and behavior. The highest attainable standard of health is a fundamental and universal human right. Consider Lisa, a fifteen-year-old born with congenital...
Anatomical Terminology01:20

Anatomical Terminology

Knowledge of anatomy is essential to understand human biology and medicine. Anatomists and health care professionals use standard terminology to describe the human body with more precision and no ambiguity. Anatomical terms have mostly Greek and Latin-derived roots. Because these languages are rarely used in conversation, the meaning of words remains the same. Each term is made up of a root in between the prefixes and suffixes. The root of a term often refers to an organ, tissue, or condition,...
Classification of Illness01:17

Classification of Illness

The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe and...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Deep learning in the early diagnosis of acute aortic dissection.

Frontiers in cardiovascular medicine·2026
Same author

CUI-Curate: a GraphRAG-based framework for automated clinical concept curation for NLP applications.

Journal of the American Medical Informatics Association : JAMIA·2026
Same author

Smartphone Ownership Among Cardiology Inpatients Pre-COVID-19 and Post-COVID-19 Pandemic: Secondary Analysis of Randomized Controlled Trials.

JMIR cardio·2026
Same author

AI-Based Prediction of Clinical Deterioration in Hospitalised Cardiac Patients.

Studies in health technology and informatics·2026
Same author

Limits of Generative Pre-Training in Structured EMR Trajectories with Irregular Sampling.

Studies in health technology and informatics·2026
Same author

Halo sign is not always due to giant cell arteritis.

Internal medicine journal·2026

Related Experiment Video

Updated: May 24, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

CUI-Curate: A Framework for Automated Clinical Concept Selection from the Unified Medical Language System.

Victoria Blake1, Mathew Miller2, Jamie Novak3

  • 1Centre for Big Data Research in Health, UNSW, Sydney.

Studies in Health Technology and Informatics
|May 23, 2026
PubMed
Summary

Automated concept set generation using CUI-Curate, a GPT-5 framework, improves recall and precision compared to manual methods. This approach offers an efficient and reproducible alternative for clinical concept set curation from UMLS.

Keywords:
Large language modelsUnified Medical Language Systemclinical text mininggraphRAGknowledge graphnatural language processing

More Related Videos

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

Related Experiment Videos

Last Updated: May 24, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

Area of Science:

  • Medical Informatics
  • Natural Language Processing
  • Knowledge Representation

Background:

  • Manual creation of Unified Medical Language System (UMLS) concept sets is inefficient and lacks consistency.
  • Clinical concept set generation is crucial for various healthcare applications, including research and clinical decision support.

Purpose of the Study:

  • To develop an automated framework for generating clinical concept sets from UMLS source vocabularies.
  • To evaluate the performance of the automated framework against manual curation methods.

Main Methods:

  • Development of CUI-Curate, a framework integrating GPT-5 and graph-based retrieval.
  • Utilizing UMLS source vocabularies for concept set generation.
  • Comparison of CUI-Curate's performance with manual curation across five target concepts.

Main Results:

  • CUI-Curate demonstrated higher recall (mean gain = +0.17) compared to manual curation.
  • High precision (mean 0.94) was maintained, comparable to manual efforts.
  • Substantial reduction in manual effort was achieved through automation.

Conclusions:

  • Automated, Large Language Model (LLM)-assisted curation provides an efficient and reproducible method for UMLS concept set generation.
  • LLM-assisted curation can overcome the limitations of manual UMLS browsing.