Radiology: Artificial Intelligence
The official blog of Radiology: Artificial Intelligence, with posts from Dr. Charles Kahn, Editor, and deputy editors.
The official blog of Radiology: Artificial Intelligence, with posts from Dr. Charles Kahn, Editor, and deputy editors.
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Background MR elastography (MRE) has been shown to have excellent performance for noninvasive liver fibrosis staging. However, there is limited knowledge regarding the precision and…
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Can’t sign in? Forgot your password? If the address matches an existing account you will receive an email with instructions to reset your password. Can’t…
Cryptogenic stroke refers to a stroke of undetermined etiology. It accounts for approximately one-fifth of ischemic strokes and has a higher prevalence in younger patients.…
Supplemental material is available for this article. See also the article by Lenkinski and Rofsky in this issue. See also the article by McKee et…
Climate change adversely affects the well-being of humans and the entire planet. A planetary health framework recognizes that sustaining a healthy planet is essential to…
Uber’s experiment with $5 discount coupons with select passengers in Seattle appeared to be a win-win situation, benefiting both the passengers and Uber. The passengers…
Apparently, it isn’t just humans who occasionally struggle to work under stress. According to a recent study, the performance of AI flounders, too.
Background Errors in radiology reports may occur because of resident-to-attending discrepancies, speech recognition inaccuracies, and large workload. Large language models, such as GPT-4 (ChatGPT; OpenAI),…