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Algorithm lowers number of CTs for some strokes
An imaging algorithm reduced the number of CT angiography and CT perfusion studies performed on patients with aneurysmal subarachnoid hemorrhages, a form of stroke.
An imaging algorithm reduced the number of CT angiography and CT perfusion studies performed on patients with aneurysmal subarachnoid hemorrhages, a form of stroke. The study was performed at New York Presbyterian Hospital – Weill Cornell Medical Center researchers and included 60 patients.
The algorithm identifies the most appropriate points at which to detect vasospasm with CT angiography and CT perfusion imaging. A flow chart establishes imaging pathways and time frames.
With the new algorithm, the mean number of CT examinations per patient dropped from 7.8 to 5.8, a decrease of 25.6%, according to the researchers. The number of CT perfusion exams per patient decreased 32.1% and overall cumulative radiation exposure decreased by 12.1%.
The results were published in the American Journal of Roentgenology (AJR 2010;195(1):176-180).
New Study Examines Short-Term Consistency of Large Language Models in Radiology
November 22nd 2024While GPT-4 demonstrated higher overall accuracy than other large language models in answering ACR Diagnostic in Training Exam multiple-choice questions, researchers noted an eight percent decrease in GPT-4’s accuracy rate from the first month to the third month of the study.
FDA Grants Expanded 510(k) Clearance for Xenoview 3T MRI Chest Coil in GE HealthCare MRI Platforms
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FDA Clears AI-Powered Ultrasound Software for Cardiac Amyloidosis Detection
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