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

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.9K
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...
5.9K
Introduction to Learning01:18

Introduction to Learning

567
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...
567

You might also read

Related Articles

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

Sort by
Same author

Optimizing transcriptome-based synthetic lethality predictions to improve targeted therapy / immunotherapy treatment prioritization in non-metastatic breast cancer: BC-SELECT.

bioRxiv : the preprint server for biology·2026
Same author

Germline Whole-Genome Sequencing in Early-Onset Pediatric Solid Tumors Implicates Novel Risk Factors.

JCO precision oncology·2026
Same author

Buprenorphine for Children and Adolescents with Sickle Cell Disease: A Scoping Review.

Children (Basel, Switzerland)·2026
Same author

A context-augmented large language model for accurate precision oncology medicine recommendations.

Cancer cell·2026
Same author

Tumor Board-Inspired Multiagent Artificial Intelligence System for Interpreting Oncology Guidelines.

JCO clinical cancer informatics·2026
Same author

Autonomous Analysis of Curated Patient Data Using a Large Language Model-Based Multiagent Framework.

JCO clinical cancer informatics·2025

Related Experiment Video

Updated: Sep 24, 2025

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

861

Why Machine Learning Should Be Taught in Medical Schools.

Matthew Nagy1, Nathan Radakovich1, Aziz Nazha2

  • 1Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, USA.

Medical Science Educator
|May 9, 2022
PubMed
Summary

Foundational machine learning (ML) principles are crucial for healthcare

Keywords:
Artificial intelligenceMachine learningMedical education

More Related Videos

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.4K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.0K

Related Experiment Videos

Last Updated: Sep 24, 2025

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

861
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.4K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.0K

Area of Science:

  • Healthcare technology
  • Medical education
  • Artificial intelligence in medicine

Background:

  • Machine learning (ML) is rapidly advancing and transforming healthcare delivery.
  • Effective clinical integration of ML requires a prepared medical workforce.
  • Medical school provides an ideal setting to introduce ML concepts to future physicians.

Discussion:

  • Foundational ML knowledge enhances clinical utility and addresses ethical considerations in decision-making.
  • Current ML education in medical schools is inconsistent.
  • A broad, foundational ML curriculum is essential for all medical students.

Key Insights:

  • Early exposure to ML principles equips clinicians for future healthcare.
  • Understanding ML aids in navigating ethical challenges in AI-driven healthcare.
  • Standardized ML education is needed nationwide for medical trainees.

Outlook:

  • Integrating ML into medical curricula will prepare the next generation of clinicians.
  • Widespread ML education can foster responsible adoption of AI in healthcare.
  • This approach supports the ethical and effective use of ML in clinical practice.