AIMC Topic: Radiologists
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Large language models as an academic resource for radiologists stepping into artificial intelligence research.
Current problems in diagnostic radiology
Jan 1, 2025
BACKGROUND: Radiologists increasingly use artificial intelligence (AI) to enhance diagnostic accuracy and optimize workflows. However, many lack the technical skills to effectively apply machine learning (ML) and deep learning (DL) algorithms, limiti...
Artificial Intelligence versus Radiologists: A Comparative Analysis for Detecting Clinically Significant Prostate Cancer.
Radiology. Imaging cancer
Sep 1, 2024
Preparing Radiologists for an Artificial Intelligence-enhanced Future: Tips for Trainees.
Radiographics : a review publication of the Radiological Society of North America, Inc
Aug 1, 2024
Familiarity, confidence and preference of artificial intelligence feedback and prompts by Australian breast cancer screening readers.
Australian health review : a publication of the Australian Hospital Association
Jun 1, 2024
Objectives This study explored the familiarity, perceptions and confidence of Australian radiology clinicians involved in reading screening mammograms, regarding artificial intelligence (AI) applications in breast cancer detection. Methods Sixty-five...
Imagine there is no paperwork… it's easy if you try.
The British journal of radiology
Mar 28, 2024
Artificial Intelligence (AI) applied to radiology is so vast that it provides applications ranging from becoming a complete replacement for radiologists (a potential threat) to an efficient paperwork-saving time assistant (an evident strength). Nowad...
Assessing radiologists' and radiographers' perceptions on artificial intelligence integration: opportunities and challenges.
The British journal of radiology
Mar 28, 2024
OBJECTIVES: The objective of this study was to evaluate radiologists' and radiographers' opinions and perspectives on artificial intelligence (AI) and its integration into the radiology department. Additionally, we investigated the most common challe...
Deep learning-based automatic scoring models for the disease activity of rheumatoid arthritis based on multimodal ultrasound images.
Rheumatology (Oxford, England)
Mar 1, 2024
OBJECTIVES: We aimed to investigate the value of deep learning (DL) models based on multimodal ultrasonographic (US) images to quantify RA activity.
Can AI generate diagnostic reports for radiologist approval on CXR images? A multi-reader and multi-case observer performance study.
Journal of X-ray science and technology
Jan 1, 2024
BACKGROUND: Accurately detecting a variety of lung abnormalities from heterogenous chest X-ray (CXR) images and writing radiology reports is often difficult and time-consuming.
'Humans think outside the pixels' - Radiologists' perceptions of using artificial intelligence for breast cancer detection in mammography screening in a clinical setting.
Health informatics journal
Jan 1, 2024
OBJECTIVE: This study aimed to explore radiologists' views on using an artificial intelligence (AI) tool named ScreenTrustCAD with Philips equipment) as a diagnostic decision support tool in mammography screening during a clinical trial at Capio Sank...
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