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

Interdisciplinary Care: The Health Care Team-II01:18

Interdisciplinary Care: The Health Care Team-II

1.4K
An interdisciplinary team includes many healthcare professionals working together and utilizing their skills, knowledge, and expertise to provide holistic and quality patient care. Here are a few more healthcare professionals.
Physical Therapist
A physical therapist (PT) aims to restore function or prevent additional impairment in a patient following an injury or disease. Massage, heat, cold, water, sonar waves, exercises, and electrical stimulation are some treatments used by PTs to treat...
1.4K
Enzyme-Linked Immunosorbent Assay01:33

Enzyme-Linked Immunosorbent Assay

13.9K
In 1971, Peter Perlman and Eva Engvall developed an Enzyme-linked immunosorbent assay (ELISA or EIA). ELISA differs from western blot in that the assays are conducted in microtiter plates or in vivo rather than on an absorbent membrane.
There are many different types of ELISAs, but they all involve an antibody molecule whose constant region binds an enzyme, leaving the variable region free to bind its specific antigen.  Enzyme-substrate reaction allows the antigen to be visualized or...
13.9K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.7K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.7K
Serum Laboratory Studies, Stool Test, Breath Test01:30

Serum Laboratory Studies, Stool Test, Breath Test

444
Gastrointestinal (GI) diagnostic studies are pivotal in confirming, ruling out, diagnosing, or staging various diseases, including cancers. Following diagnosis, allocating time for discussions with the patient and providing informational resources is crucial. Diagnostic assessments of the GI tract often occur in outpatient settings like endoscopy suites or GI labs. Preparation for these tests may include dietary restrictions, fasting, liquid bowel preparations, laxatives, enemas, and the...
444

You might also read

Related Articles

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

Sort by
Same author

Real-World Biomarker Test Ordering Practices in Non-Small Cell Lung Cancer: Interphysician Variation and Association With Clinical Outcomes.

JCO precision oncology·2024
Same author

Artificial Intelligence in the Clinical Laboratory.

Clinics in laboratory medicine·2023
Same author

Real evidence to assess clinical testing interference risk (REACTIR): A strategy using real world data to assess the prevalence of interfering substances in patients undergoing clinical laboratory testing.

Clinica chimica acta; international journal of clinical chemistry·2021
Same author

Use of machine learning to predict clinical decision support compliance, reduce alert burden, and evaluate duplicate laboratory test ordering alerts.

JAMIA open·2021
Same author

Development of a "meta-model" to address missing data, predict patient-specific cancer survival and provide a foundation for clinical decision support.

Journal of the American Medical Informatics Association : JAMIA·2020
Same author

Iron studies and transferrin, a source of test ordering confusion highly amenable to clinical decision support.

Clinica chimica acta; international journal of clinical chemistry·2020

Related Experiment Video

Updated: Aug 10, 2025

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:30

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

Published on: July 11, 2025

148

Artificial Intelligence in the Clinical Laboratory: An Overview with Frequently Asked Questions.

Jason M Baron1

  • 1Department of Pathology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA 02114-2696, USA.

Clinics in Laboratory Medicine
|February 10, 2023
PubMed
Summary
This summary is machine-generated.

This article introduces machine learning (ML) fundamentals and their clinical laboratory applications. It aims to equip laboratory professionals with foundational knowledge for ML collaboration and solution development.

Keywords:
Artificial intelligenceClinical decision supportClinical laboratoryMachine learningMultianalyte assay with algorithmic analysisPredictive model

More Related Videos

Artificial Intelligence Approaches to Assessing Primary Cilia
08:58

Artificial Intelligence Approaches to Assessing Primary Cilia

Published on: May 1, 2021

3.6K
Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
09:11

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Published on: January 27, 2023

2.2K

Related Experiment Videos

Last Updated: Aug 10, 2025

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:30

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

Published on: July 11, 2025

148
Artificial Intelligence Approaches to Assessing Primary Cilia
08:58

Artificial Intelligence Approaches to Assessing Primary Cilia

Published on: May 1, 2021

3.6K
Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
09:11

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Published on: January 27, 2023

2.2K

Area of Science:

  • Clinical Diagnostics
  • Machine Learning in Healthcare
  • Laboratory Medicine

Background:

  • Machine learning (ML) offers transformative potential in clinical settings.
  • Understanding ML is becoming crucial for laboratory professionals.
  • Bridging the gap between clinical expertise and computational methods is essential.

Purpose of the Study:

  • To provide a foundational overview of machine learning principles.
  • To highlight key applications of ML in clinical laboratory diagnostics.
  • To facilitate collaboration between clinical laboratory staff and data scientists.

Main Methods:

  • Review of machine learning concepts relevant to healthcare.
  • Exploration of ML use cases in patient management and diagnostics.
  • Discussion of the practical implementation of ML solutions.

Main Results:

  • Machine learning offers significant opportunities for enhancing diagnostic accuracy.
  • ML tools can improve patient management strategies through data analysis.
  • Foundational knowledge empowers laboratory professionals to engage with ML technologies.

Conclusions:

  • Machine learning is a valuable tool for advancing clinical laboratory diagnostics.
  • Educating laboratory professionals on ML fosters innovation and collaboration.
  • Further study and collaboration are key to leveraging ML for improved patient care.