Diagnostic and interventional radiology (Ankara, Turkey)
Dec 25, 2023
Rapid technological advances have transformed medical education, particularly in radiology, which depends on advanced imaging and visual data. Traditional electronic learning (e-learning) platforms have long served as a cornerstone in radiology educa...
Journal of the American College of Radiology : JACR
Dec 9, 2023
Radiology is on the verge of a technological revolution driven by artificial intelligence (including large language models), which requires robust computing and storage capabilities, often beyond the capacity of current non-cloud-based informatics sy...
Artificial intelligence (AI) will drastically change the healthcare system. Radiology is one speciality that is most affected as AI algorithms are increasingly used in diagnostic imaging. AI-enhanced health technologies will, inter alia, increase wor...
IEEE transactions on bio-medical engineering
Nov 21, 2023
Automatic radiology report summarization has been an attractive research problem towards computer-aided diagnosis to alleviate physicians' workload in recent years. However, existing methods for English radiology report summarization using deep learn...
OBJECTIVE: Radiology reporting is an essential component of clinical diagnosis and decision-making. With the advent of advanced artificial intelligence (AI) models like GPT-4 (Generative Pre-trained Transformer 4), there is growing interest in evalua...
The escalating demand for artificial intelligence (AI) systems that can monitor and supervise human errors and abnormalities in healthcare presents unique challenges. Recent advances in vision-language models reveal the challenges of monitoring AI by...
Journal of magnetic resonance imaging : JMRI
Oct 27, 2023
Artificial intelligence (AI) has the potential to bring transformative improvements to the field of radiology; yet, there are barriers to widespread clinical adoption. One of the most important barriers has been access to large, well-annotated, widel...
Current problems in diagnostic radiology
Oct 20, 2023
OBJECTIVE: To perform a detailed qualitative and quantitative analysis of the published literature on ChatGPT and radiology in the nine months since its public release, detailing the scope of the work in the short timeframe.
BACKGROUND: Artificial intelligence (AI) is transforming various fields, with health care, especially diagnostic specialties such as radiology, being a key but controversial battleground. However, there is limited research systematically examining th...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.