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

Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

2.8K
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
2.8K
Introduction to Learning01:18

Introduction to Learning

1.2K
Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
1.2K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

6.3K
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...
6.3K
Natural and Artificial Concepts01:24

Natural and Artificial Concepts

585
In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
585

You might also read

Related Articles

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

Sort by
Same author

Do Surgical Trainees Impact Surgeon Robotic Learning Curves?

The American surgeon·2026
Same author

Comparative analysis of reintervention rates in mesh versus no-mesh inguinal hernia repair using electronic health records.

American journal of surgery·2026
Same author

The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis.

Medical research archives·2025
Same author

IL-25-induced memory type 2 innate lymphoid cells enforce mucosal immunity.

Cell·2025
Same author

Corrigendum to "Weight-Based Dosing for Venous Thromboembolism Prophylaxis in Spinal Trauma Patients Appears Safe" [Journal of Surgical Research 2023, Volume 290, October 2023, Pages 209-214].

The Journal of surgical research·2025
Same author

A Qualitative Study of Social Processes, HPV Vaccine Attitudes, and Vaccination Behavior Among Hesitant Adopter Parents.

Clinical pediatrics·2025
Same journal

Care Transitions Continue to Evolve.

The Medical clinics of North America·2026
Same journal

Navigating the Gaps: A Comprehensive Overview of Care Transitions Across the Continuum.

The Medical clinics of North America·2026
Same journal

Care Transitions and Value-Based Payment Models in the United States.

The Medical clinics of North America·2026
Same journal

Technology and Innovation in Care Transitions: Imagining the Future of Postdischarge Care.

The Medical clinics of North America·2026
Same journal

Primary Care, Specialists, and Hospitals: Bridging the Gaps in Communication and Coordination.

The Medical clinics of North America·2026
Same journal

Social Determinants of Health: Unique Considerations in Transitions of Care.

The Medical clinics of North America·2026
See all related articles

Related Experiment Video

Updated: Feb 18, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.6K

Clinician's Guide to Artificial Intelligence: Technical Foundations of Machine Learning.

Andrew W Schroeder1, Zachary Tran2, Kevin Sexton3

  • 1Department of Surgery, Carilion Clinic, 1906 Belleview Avenue, Roanoke, VA 24014, USA.

The Medical Clinics of North America
|February 1, 2026
PubMed
Summary
This summary is machine-generated.

This article explains artificial intelligence (AI) for clinicians, covering machine learning concepts, training, and evaluation. It aims to help healthcare professionals safely integrate AI tools into patient care.

Keywords:
Artificial intelligenceClinical decision supportExplainable AIMachine learningMedical imagingModel validation

More Related Videos

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

1.2K
Artificial Intelligence Approaches to Assessing Primary Cilia
08:58

Artificial Intelligence Approaches to Assessing Primary Cilia

Published on: May 1, 2021

4.2K

Related Experiment Videos

Last Updated: Feb 18, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.6K
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

1.2K
Artificial Intelligence Approaches to Assessing Primary Cilia
08:58

Artificial Intelligence Approaches to Assessing Primary Cilia

Published on: May 1, 2021

4.2K

Area of Science:

  • Clinical informatics
  • Biomedical engineering
  • Health data science

Background:

  • Artificial intelligence (AI) is increasingly used in clinical settings for tasks like medical imaging analysis and clinical decision support.
  • A knowledge gap exists among many healthcare professionals regarding the fundamental principles of AI system construction, training, and evaluation.
  • Understanding AI is crucial for safe and effective clinical integration.

Purpose of the Study:

  • To present a technical framework detailing core machine learning concepts relevant to clinical AI.
  • To demystify AI development and evaluation for healthcare professionals.
  • To empower clinicians to critically assess and safely implement AI tools in patient care.

Main Methods:

  • Explanation of traditional machine learning algorithms.
  • Overview of deep neural network architectures.
  • Discussion of various data modalities, training paradigms, evaluation metrics, and model interpretability techniques.

Main Results:

  • Provides a foundational understanding of AI construction and function.
  • Outlines key principles for assessing AI tools.
  • Highlights practical considerations for clinical application.

Conclusions:

  • Clinicians need a solid grasp of AI fundamentals to effectively utilize these technologies.
  • This framework equips healthcare professionals to critically evaluate AI tools and their limitations.
  • Safe and effective integration of AI into patient care is achievable with proper understanding.