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

Automated Microbial Diagnostics01:24

Automated Microbial Diagnostics

Automated diagnostic analyzers have transformed clinical microbiology by providing rapid and reliable methods for pathogen identification and antibiotic susceptibility testing. Among these systems, the Vitek 2 is widely used because it automates the traditionally labor-intensive processes of microbial identification (ID) and antibiotic susceptibility testing (AST), delivering standardized and timely results that are essential for effective patient care.Microbial Identification with ID CardsThe...
Urine Studies I: Urinalysis01:29

Urine Studies I: Urinalysis

Urinalysis is a widely used diagnostic test that analyzes urine's physical, chemical, and microscopic characteristics. Healthcare providers use it to detect and monitor various health conditions, including renal disease, urinary tract infections (UTIs), diabetes, and metabolic or systemic disorders.Components of UrinalysisUrinalysis consists of three primary components: physical, chemical, and microscopic examination. Each provides unique insights into the urine sample and, by extension, the...

You might also read

Related Articles

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

Sort by
Same author

Interlaboratory Comparison of a Glucagon and Oxyntomodulin Immuno-LC-MS/MS Assay: Implications for Diabetes Research.

Clinical chemistry·2026
Same author

Prospective Cohort Study Evaluating Impact of Hemodialysis on Glycemia: BLOSSOM (Blood Sugar Sensing on Maintenance Dialysis) Cohort Findings.

Clinical journal of the American Society of Nephrology : CJASN·2026
Same author

Associations of maternal urinary perchlorate, thiocyanate, and nitrate with maternal thyroid function during pregnancy: Modification by iodine status in the MARBLES study.

Environmental research·2026
Same author

Associations between hematologic dynamics during pregnancy and obstetric complications: A retrospective observational study.

PLoS medicine·2026
Same author

Interlaboratory comparison with a reference measurement procedure (RMP) for determining 24,25-dihydroxyvitamin D<sub>3</sub> in human serum using liquid chromatography-tandem mass spectrometry (LC-MS/MS).

Analytical and bioanalytical chemistry·2026
Same author

Association of the vitamin D metabolite ratio with bone turnover markers and changes in volumetric BMD.

JBMR plus·2026
Same journal

Personalizing N-of-1 Trial Results to Facilitate Decision-Making.

JAMA network open·2026
Same journal

Prostate Cancer Screening-Where We've Been, Where We Are, and What Comes Next.

JAMA network open·2026
Same journal

Comparison of Care Cascade Outcome Measures for Hepatitis C Among Insured US Adults.

JAMA network open·2026
Same journal

At-Home Transvaginal Pelvic Ultrasonography and Image Quality in Premenopausal Women: A Nonrandomized Clinical Trial.

JAMA network open·2026
Same journal

Aerobic Exercise and Subthreshold Depressive Symptoms in Adolescents: Secondary Analysis of a Randomized Clinical Trial.

JAMA network open·2026
Same journal

Prefrontal Transcranial Pulse Stimulation for Major Depressive Disorder: A Randomized Clinical Trial.

JAMA network open·2026
See all related articles

Related Experiment Video

Updated: Jun 24, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Development and Implementation of an AI System for Generating Clinical Urine Drug Test Sign-Outs.

Nathan Laha1, Michael Keebaugh1, Hsuan-Chieh Liao1

  • 1Department of Laboratory Medicine & Pathology, University of Washington School of Medicine, Seattle.

JAMA Network Open
|June 23, 2026
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) tools can enhance clinical workflows. This study shows AI accurately interprets urine drug tests, improving efficiency and reducing sign-out times without compromising care quality.

More Related Videos

Low-Cost, Volume-Controlled Dipstick Urinalysis for Home-Testing
06:55

Low-Cost, Volume-Controlled Dipstick Urinalysis for Home-Testing

Published on: May 8, 2021

High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry
10:17

High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry

Published on: April 23, 2019

Related Experiment Videos

Last Updated: Jun 24, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Low-Cost, Volume-Controlled Dipstick Urinalysis for Home-Testing
06:55

Low-Cost, Volume-Controlled Dipstick Urinalysis for Home-Testing

Published on: May 8, 2021

High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry
10:17

High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry

Published on: April 23, 2019

Area of Science:

  • Clinical informatics
  • Artificial intelligence in healthcare
  • Natural language processing applications

Background:

  • Natural language processing (NLP) tools offer potential for clinical workflow improvement, yet practical deployment remains limited.
  • Developing and evaluating AI for clinical support services is crucial for adoption.

Purpose of the Study:

  • To develop, deploy, and evaluate an AI language tool for generating preliminary sign-outs for a urine drug testing service.
  • To assess the accuracy and efficiency of AI in interpreting urine drug test results and supporting clinical decision-making.

Main Methods:

  • Large language models (LLMs) extracted substance use patterns from over 83,000 urine drug test interpretations (2014-2024).
  • An AI model predicted substance use, generating preliminary clinical sign-outs integrated into the workflow.
  • User studies evaluated model performance and user experience, with statistical analyses comparing AI and human labeling.

Main Results:

  • LLM-based extraction of substance use patterns achieved 99.9% accuracy, surpassing human labeling.
  • AI demonstrated high accuracy in predicting substance use (AUC > 0.99 for 23/26 substances).
  • Workflow integration reduced clinical sign-out times by 23% (28.5 seconds/case) and up to 51% with additional improvements.

Conclusions:

  • AI-based interpretation of urine drug testing is rapid, accurate, and offers significant efficiency gains.
  • NLP tool integration into clinical services provides substantial benefits without compromising patient care quality.
  • This study supports the broader application of AI language tools in healthcare settings.