AI Medical Compendium Journal:
Journal of medical imaging and radiation sciences

Showing 11 to 20 of 41 articles

The American Society of Radiologic Technologists (ASRT) AI educator survey: A cross-sectional study to explore knowledge, experience, and use of AI within education.

Journal of medical imaging and radiation sciences
INTRODUCTION: Artificial Intelligence (AI) is revolutionizing medical imaging and radiation therapy. AI-powered applications are being deployed to aid Medical Radiation Technologists (MRTs) in clinical workflows, decision-making, dose optimisation, a...

CovMediScanX: A medical imaging solution for COVID-19 diagnosis from chest X-ray images.

Journal of medical imaging and radiation sciences
INTRODUCTION: Radiologists have extensively employed the interpretation of chest X-rays (CXR) to identify visual markers indicative of COVID-19 infection, offering an alternative approach for the screening of infected individuals. This research artic...

The future of radiology and radiologists: AI is pivotal but not the only change afoot.

Journal of medical imaging and radiation sciences
Uncertainty regarding the future of radiologists is largely driven by the emergence of artificial intelligence (AI). If AI succeeds, will radiologists continue to monopolize imaging services? As AI accuracy progresses with alacrity, radiology reads w...

Radiography students' perceptions of artificial intelligence in medical imaging.

Journal of medical imaging and radiation sciences
INTRODUCTION: Education relating to Artificial Intelligence (AI) is becoming critical to developing contemporary radiographers. This study sought to investigate the perceptions of a sample of Australian radiography students regarding AI within the co...

Artificial intelligence to support person-centred care in breast imaging - A scoping review.

Journal of medical imaging and radiation sciences
AIM: To overview Artificial Intelligence (AI) developments and applications in breast imaging (BI) focused on providing person-centred care in diagnosis and treatment for breast pathologies.

Current and potential applications of artificial intelligence in medical imaging practice: A narrative review.

Journal of medical imaging and radiation sciences
BACKGROUND AND PURPOSE: Artificial intelligence (AI) is present in many areas of our lives. Much of the digital data generated in health care can be used for building automated systems to bring improvements to existing workflows and create a more per...

Knowledge, perceptions, and expectations of Artificial intelligence in radiography practice: A global radiography workforce survey.

Journal of medical imaging and radiation sciences
BACKGROUND: Artificial Intelligence (AI) technologies have already started impacting clinical practice across various settings worldwide, including the radiography profession. This study is aimed at exploring a world-wide view on AI technologies in r...

The impact of artificial intelligence on radiography as a profession: A narrative review.

Journal of medical imaging and radiation sciences
BACKGROUND AND PURPOSE: Artificial intelligence (AI) algorithms, particularly deep learning, have made significant strides in image recognition and classification, providing remarkable diagnostic accuracy to various diseases. This domain of AI has be...

Singapore radiographers' perceptions and expectations of artificial intelligence - A qualitative study.

Journal of medical imaging and radiation sciences
INTRODUCTION: With the emergence of artificial intelligence (AI) in medical imaging, radiographers are likely to be at the forefront of this technological advancement. Studies have therefore been conducted recently to understand radiographers' opinio...