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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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Who’s Reading My Chest X-ray?

Everything Rad

Reading Time: 4 minutes read New CDC Proposal Suggests Allowing Physician Assistants and Nurse Practitioners to Read Chest X-rays. Would these professionals feel confident to interpret a chest x-ray? The post Whos Reading My Chest X-ray? By Ann London BS. Do you have an opinion?

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Road to RSNA 2023: Digital X-Ray

AuntMinnie

This year’s trip along the Road to RSNA for digital x-ray features mileposts mostly set by AI research. Models will be proposed for applications ranging from predicting bone density on chest x-rays to generating complete reports on anterior cruciate ligament (ACL) tears. Nonetheless, AI is poised to take top headlines.

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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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LUS reliable for care strategies in infants with RDS

AuntMinnie

Researchers led by ShivendraRai, MD, from King Georges Medical University in Lucknow, Uttar Pradesh, India, found that LUS scoring predicts surfactant administration better than chest x-ray in preterm neonates of 34 weeks' gestation admitted within 12 hours of birth with clinical suspicion of RDS. Of the total newborns, 67.2%

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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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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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