Artificial intelligence in medical imaging education: Recommendations for undergraduate curriculum development
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.Artificial intelligence (AI) education is crucial for radiography students. This paper recommends integrating AI modules into undergraduate medical imaging programs to prepare future radiographers for evolving technology and ensure patient safety.
Area Of Science
- Medical Imaging
- Radiography Education
- Artificial Intelligence
Background
- Artificial intelligence (AI) is increasingly used in medical imaging.
- There is a growing need to enhance AI education within undergraduate radiography programs.
Purpose Of The Study
- To provide recommendations for revising and re-aligning undergraduate medical imaging curricula.
- To guide course providers in integrating AI education into university programs.
Main Methods
- Literature review
- Practitioner insights
- Industry perspectives
- Development of a modular framework for AI integration
- Proposal for longitudinal curriculum embedding with hands-on experience
Main Results
- A modular framework for AI integration in university programs is proposed.
- Example course modules cover data science, machine learning, AI ethics, governance, evaluation, and clinical applications.
- Longitudinal embedding with practical experience and authentic assessments is recommended.
Conclusions
- Integrating AI education into undergraduate medical imaging programs is essential for future radiographers.
- A strategic, multidisciplinary approach ensures students gain comprehensive AI knowledge and critical evaluation skills.
- Practical implementation prepares radiographers to use AI effectively and safely in patient care.
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
Related Concept Videos
Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body...
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
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...