RATIONALE AND OBJECTIVES: Assess the feasibility of using a large language model (LLM) to identify valuable radiology teaching cases through report discrepancy detection.
Journal of the American College of Radiology : JACR
Mar 8, 2025
As the use of artificial intelligence (AI) continues to grow in radiology, it has become clear that its real-world performance often differs from that demonstrated in premarket testing, underscoring the need for robust quality management (QM) program...
OBJECTIVES: To investigate the overall attitude of medical students towards radiology, their perceptions of the university curriculum, the clinical relevance, and the prospects within the specialty, as well as identify reasons for and against choosin...
BACKGROUND: The use of artificial intelligence (AI) technologies in radiography practice is increasing. As this advanced technology becomes more embedded in radiography systems and clinical practice, the role of radiographers will evolve. In the cont...
AJNR. American journal of neuroradiology
Mar 4, 2025
BACKGROUND AND PURPOSE: Artificial intelligence is capable of generating complex texts that may be indistinguishable from those written by humans. We aimed to evaluate the ability of GPT-4 to write radiology editorials and to compare these with human...
Diagnostic and interventional radiology (Ankara, Turkey)
Feb 28, 2025
PURPOSE: The primary objective of this research is to enhance the accuracy and efficiency of information extraction from radiology reports. In addressing this objective, the study aims to develop and evaluate a deep learning framework for named entit...
Journal of medical imaging and radiation sciences
Feb 27, 2025
INTRODUCTION/BACKGROUND: Modern forms of Artificial intelligence (AI) have developed in radiology over the past few years. With the current workforce shortages, in both radiology and radiography professions, AI continues to prove its place in support...
Radiology is one of the medical specialties most significantly impacted by Artificial Intelligence (AI). AI systems, particularly those employing machine and deep learning, excel in processing large datasets and comparing images from similar contexts...
Radiologists are crucial in the diagnostic workflow. They must maintain an independent perspective, being a "third party" to the patients and referral clinicians. This is important when documenting the absence of relevant abnormalities or providing i...
PURPOSE: This study explores a self-learning method as an auxiliary approach in residency training for distinguishing between benign and malignant thyroid nodules.
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