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Radiologists ‘compete’ on chest x-rays reads with and without AI

AuntMinnie

In a study described as a “competition between radiologists,” participants tasked with identifying abnormal findings on chest x-rays performed better with AI assistance than without AI assistance – though not by much and not in all cases, according to a group in Nanjing, Jiangsu, China.

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Radiologists Outperformed AI in Identifying Lung Diseases on Chest X-ray

Imaging Technology

milla1cf Tue, 09/26/2023 - 15:32 September 26, 2023 — In a study of more than 2,000 chest X-rays , radiologists outperformed AI in accurately identifying the presence and absence of three common lung diseases, according to a study published in Radiology , a journal of the Radiological Society of North America ( RSNA ).

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Behind the Decision-Making Process of Purchasing X-Ray Equipment

Everything Rad

Reading Time: 10 minutes read By Henry Williams, Carestream Area Vice President, Sales Western Nowadays, with hospital budgetary restrictions at the forefront of the purchasing decision making process, it seems like the X-Ray market, like everything else, is not immune to the current state of the economy. But is that really the case?

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AI detects incidental lung nodules on chest x-rays

AuntMinnie

AI based lesion-detection software used in daily practice can help identify clinically significant incidental lung nodules on chest x-rays, according to a study published November 13 in Scientific Reports. needed clinical management,” wrote lead author Shin Hye Hwang, MD, and colleagues.

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Chest x-ray AI triage makes a difference in lung cancer CT routing

AuntMinnie

Nearly 72,000 chest x-rays had been randomized as of November 25 (the study is open through December 31), with the two primary outcomes of the trial being time to diagnosis of lung cancer and time from chest x-ray to CT by prioritizing abnormals. UCLH has produced 9,217 chest x-rays from 8,072 patients.

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Cutting-Edge Technology Enhances Chest X-Ray Classification for Superior Patient Outcomes

MedImaging Radiography

An innovative tool leverages the power of cognitive computing and deep learning to help radiologists and healthcare providers diagnose various chest conditions from X-ray images, thereby enhancing patient outcomes.

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AI shows potential to diagnose wrist fractures as well as radiologists

Health Imaging

Manual reviews of X-rays remains important, because the true effectiveness of AI is still hard to quantify.

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