Current Radiology workforce perspective on the integration of artificial intelligence in clinical practice: A...

Area of Science:

• Medical Imaging
• Radiology
• Artificial Intelligence

Background:

• Artificial Intelligence (AI) is transforming medical imaging by automating human tasks.
• This review systematically examines professional perspectives on AI integration in clinical practice.
• It offers a holistic view of AI tool perception within medical imaging.

Purpose of the Study:

• To systematically review radiologist and radiographer perspectives on AI integration in medical imaging.
• To understand the professional viewpoint on the broad spectrum of AI tools in practice.

Main Methods:

• Systematic review of quantitative, qualitative, and mixed-methods studies.
• Inclusion of studies focusing on radiographer/radiologist viewpoints on AI in medical imaging.
• Quality assessment using QATSSD checklist and convergent synthesis of findings.

Main Results:

• Forty-one cross-sectional studies were analyzed.
• Key themes include AI education, image quality, radiation dose, ethics, medico-legal aspects, patient care, and job security.
• These themes provide a global perspective on AI in medical imaging.

Conclusions:

• Radiologists and radiographers show general optimism towards AI in medical imaging.
• Significant barriers include low AI education/knowledge and implementation challenges.
• Stakeholders must address equipment errors, cost, data security, ethics, and job displacement concerns.