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

5.5K
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...
5.5K
Current Trends in Nursing II01:30

Current Trends in Nursing II

1.2K
Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
1.2K
Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

230
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...
230
Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis01:24

Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis

1.4K
The nursing process provides a clinical decision-making framework for patients and families to establish and implement a personalized care plan. Since part of the nurse's duties is to teach patients, the steps of the nursing process are the most effective way to approach instruction. The nursing process and the teaching-learning process are inextricably linked.
It is critical to determine the patient's learning needs during the assessment. Determination of learning needs compounds data...
1.4K
Nursing Clinical Information System01:27

Nursing Clinical Information System

707
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:
707
Critical Thinking II01:25

Critical Thinking II

2.6K
Critical thinking is a cognitive process with several attributes. The attributes of critical thinking include the following:
2.6K

You might also read

Related Articles

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

Sort by
Same author

Transformation Versus Innovation in Digital Health Care and the Future of Clinical AI.

Journal of medical Internet research·2026
Same author

Our AI-Powered Discoveries Are Trapped in a Predigital System.

Journal of medical Internet research·2026
Same author

Important Ethical, Technical, and Epidemiological Considerations in an AI Tool Production (ETEPAI): Scoping Review.

JMIR AI·2026
Same author

Application of Mixed Reality for Ophthalmic Clinical Skills and Diagnosis: Prospective Study.

JMIR medical education·2026
Same author

Prompt Engineering for Eastern Cooperative Oncology Group Status Extraction: Comparing Large Language Model Techniques.

JCO clinical cancer informatics·2026
Same author

Synergistic Triad of Mixed Reality, 3D Printing, and Navigation in Complex Craniomaxillofacial Reconstruction.

Bioengineering (Basel, Switzerland)·2026
Same journal

Evaluation and analysis of renal injury in patients with advanced renal cell carcinoma receiving first-line benmelstobart plus anlotinib: results from the ETER100 study.

BMC medicine·2026
Same journal

Adverse and positive childhood experiences and suicidal ideation onset in a US pre-early adolescent cohort.

BMC medicine·2026
Same journal

Dual-drug-loaded nanohydrogel for intraoperative local application: sequential release-mediated spatiotemporal targeting of diverse secondary injury mechanisms to improve long-term prognosis in traumatic brain injury.

BMC medicine·2026
Same journal

Single-nucleus analysis of menstrual fluid highlights gene expression differences in epithelial cells of endometriosis donors.

BMC medicine·2026
Same journal

Impact of hepatotoxicity and lipid metabolism-related toxicity on survival and quality of life in patients with high-volume metastatic hormone-sensitive prostate cancer treated with rezvilutamide in the CHART trial: a post hoc analysis.

BMC medicine·2026
Same journal

The impact of public health and social measures on social contact patterns and transmission of COVID-19 in Hong Kong.

BMC medicine·2026
See all related articles

Related Experiment Video

Updated: May 10, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

743

Artificial intelligence tool development: what clinicians need to know?

Boon-How Chew1,2, Kee Yuan Ngiam3,4

  • 1Department of Biomedical Informatics, Yong Loo Lin School of Medicine, National University of Singapore C/O NUHS Tower Block, Level 8, 1E Kent Ridge Road, Singapore, 119228, Singapore. chewboonhow@upm.edu.my.

BMC Medicine
|April 24, 2025
PubMed
Summary
This summary is machine-generated.

Clinicians are vital for developing artificial intelligence (AI) and machine learning (ML) tools in healthcare. Understanding the AI tool development lifecycle, from problem identification to continuous monitoring, is crucial for effective clinician engagement.

Keywords:
Artificial intelligenceDeploymentDevelopmentInfrastructureIntegration clinical workflowMachine learning

More Related Videos

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
05:18

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

1.2K
A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
04:19

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

Published on: May 10, 2022

3.5K

Related Experiment Videos

Last Updated: May 10, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

743
Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
05:18

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

1.2K
A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
04:19

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

Published on: May 10, 2022

3.5K

Area of Science:

  • Digital health
  • Medical informatics
  • Artificial intelligence in medicine

Background:

  • Digital medicine and smart healthcare require active clinician involvement.
  • Artificial intelligence (AI) and machine learning (ML) are increasingly used in healthcare decision-making.
  • Clinicians are key stakeholders in the adoption and success of AI/ML tools.

Purpose of the Study:

  • To explain the complete development process of AI tools in healthcare.
  • To detail the concepts and technical aspects of each stage in AI tool development.
  • To foster clinician understanding and engagement in AI/ML tool co-design and evaluation.

Main Methods:

  • A targeted literature review was conducted.
  • Online structured materials were summarized.
  • A synthesis of existing reports and literature was performed.

Main Results:

  • AI tool development is a cyclical process involving nine key stages.
  • Stages include: problem identification, team formation, data curation, infrastructure setup, model exploration, validation, registration, deployment, and continuous improvement.
  • Each stage has specific technical considerations and requires interdisciplinary collaboration.

Conclusions:

  • A comprehensive understanding of the AI development lifecycle empowers clinicians.
  • This knowledge facilitates clinician participation in co-designing, evaluating, and monitoring AI/ML tools.
  • Broader adoption and effective regulation of AI/ML in healthcare settings are promoted by clinician engagement.