Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Issues And Trends In Healthcare Delivery System

Issues And Trends In Healthcare Delivery System

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...

Radiological Investigation I: X-ray and CT

Radiological Investigation I: X-ray and CT

Radiological investigations, including X-rays and computed tomography (CT) scans, are critical for diagnosing and evaluating various medical conditions. These imaging techniques provide valuable insights into the body's internal structures, aiding in the detection of abnormalities, assessment of disease progression, and development of treatment strategies. This article delves into two primary radiological investigations, chest X-rays and CT scans, outlining their purpose, procedures, and...

You might also read

Related Articles

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

Sort by

Same author

Older people's and formal caregivers' perspectives of value-creating continence care: a qualitative study.

International journal of qualitative studies on health and well-being·2026

Same author

Tensions as productive forces in coproduced mental health research: an explorative qualitative study.

Research involvement and engagement·2026

Same author

Patients' Experiences of Multimodal Rehabilitation for Chronic Pain in Primary Care.

Musculoskeletal care·2026

Same author

Patient safety in wound care: experiences of healthcare professionals in home healthcare settings.

International journal of qualitative studies on health and well-being·2026

Same author

Parents' Own Health-Related Experiences of a Weighted Blanket Intervention for Children with ADHD and Sleep Problems: A Mixed Methods Study.

European journal of investigation in health, psychology and education·2026

Same author

A national survey of primary care physicians' self-reported use of and attitudes to telemedicine consultations with patients in Sweden.

Digital health·2026

Search research articles

Related Experiment Video

Updated: Jan 8, 2026

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

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

Published on: July 11, 2025

Radiology Staff Experiences With Integrating Artificial Intelligence Into Radiology Practice in a Swedish Hospital:

Per Nilsen^1,2, Petra Svedberg¹, Ingrid Larsson¹

¹School of Health and Welfare, Halmstad University, Box 823 Halmstad, Halmstad, 30118, Sweden, 46 0706341151.

JMIR Formative Research

|December 22, 2025

Summary

This summary is machine-generated.

Artificial intelligence (AI) in radiology enhances decision-making and care quality but presents integration challenges. Strategies like internal training and workflow adaptation are key to successful AI adoption in radiology departments.

Keywords:

AI artificial intelligence case study health care integration radiology staff

More Related Videos

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

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

Published on: February 23, 2024

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

Related Experiment Videos

Last Updated: Jan 8, 2026

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

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

Published on: July 11, 2025

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

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

Published on: February 23, 2024

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

Area of Science:

Radiology
Medical Imaging
Artificial Intelligence

Background:

Limited research exists on the impact of artificial intelligence (AI) on the daily work of radiology staff.
AI integration in radiology is advancing, necessitating an understanding of its practical implications.

Purpose of the Study:

To explore the experiences of radiology staff regarding the integration of an AI application.
To inform strategies for addressing challenges and optimizing AI use in radiology practice.

Main Methods:

Qualitative case study in a single Swedish radiology department (40 employees).
Interviews conducted with radiologists, radiologic technologists, and a physician assistant.
Data analyzed using qualitative content analysis.

Main Results:

Staff reported significant strengths and advantages of AI integration in radiology.
Challenges were identified in AI selection, deployment, and operational integration.
Various strategies for facilitating AI integration and addressing challenges were discussed.

Conclusions:

AI integration in radiology enhances decision-making and care quality but poses challenges from pre-adoption to routine use.
Internal training and workflow adaptation were identified as facilitators for successful AI integration.
Findings offer insights for similar healthcare settings implementing AI in radiology.