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AI cuts time for radiologists reporting fractures on x-rays

AuntMinnie

CHICAGO -- A commercially available AI algorithm that can prioritize x-ray exams when it detects fractures yields “tremendous reductions” in report turnaround times, according to a study presented November 28 at RSNA. The software was configured to push email notifications three times a day, at 8 a.m., noon, and 3 p.m.,

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AI improves performance of nonradiologists in chest imaging

AuntMinnie

AI improves chest x-ray imaging interpretation by nonradiologist practitioners, which could be useful in low-resource settings, according to research published January 29 in Chest. Chest x-rays are the go-to modality for assessing whether or not a disease requires immediate treatment. Pneumothorax 92.8% Nodules 74.6%

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DeepTek.ai Unveiled the World's First Commercially Available US FDA Cleared CADe Chest X-Ray AI Solution Covering the Entire Chest Region at RSNA23

Imaging Technology

Augmento X-Ray is designed to significantly reduce radiologist workload and improve the quality of chest X-ray reporting. billion annual X-rays performed, 1.5 The shortage of radiologists accentuates the significance of AI in tackling this challenge head-on.

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What Does It Take to Become a Radiologist?

TRA Medical Imaging

Becoming a radiologist requires an extraordinary level of dedication, education, and training. Radiologists are medical doctors who specialize in interpreting imaging studies like X-rays, CT scans, MRIs, and ultrasounds to diagnose and guide treatment for various conditions.

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Qure.ai's AI-Driven Chest X-ray Solution Receives FDA Clearance for Enhanced Lung Nodule Detection

Imaging Technology

Qure’s chest X-ray based qXR-LN uses artificial intelligence to identify and localize lung nodules, marking another significant milestone for the organization, strengthening its standing as a pioneer in the realm of AI-powered advancements for plain film radiography and medical imaging.

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Algorithm hunts for unreported osteoporosis markers on chest x-rays

AuntMinnie

To date, AI models in medical imaging have often commonly focused on radiological finding detection to provide direct diagnostic assistance to radiologists, according to presenter Jonathan Stephan Luchs, MD. Detecting these unreported findings could help characterize risk and improve patient care and management, according to the researchers.

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SimonMed Imaging Unveils New Data on Leveraging Artificial Intelligence for Decreased Turnaround Time and Increased Accuracy on MSK X-Ray Readings

Imaging Technology

The original study evaluated the impact of Artificial Intelligence (AI) diagnosis tools in reducing turnaround time for X-ray examinations and performing accurate readings. By embracing cutting-edge technology, such as AI, we are not only accelerating patient care but also ensuring the highest standards of precision.

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