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AI lifts nonradiologists' x-ray interpretation skill levels

AuntMinnie

A commercially available AI model was on par with radiologists when detecting abnormalities on chest x-rays, and eliminated a gap in accuracy between radiologists and nonradiologist physicians, according to a study published October 24 in Scientific Reports. A) Chest x-ray unaided by the AI system. (B)

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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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Malaysian hospital to deploy AI x-ray software

AuntMinnie

The largest private hospital system in Malaysia, Sunway Medical Centre, Sunway City (SMC), will integrate Annalise.ai’s Enterprise CXR chest x-ray technology into its medical imaging workflow. Annalise Enterprise CXR equips clinicians with AI that enables rapid triage of cases and prioritization of urgent ones.

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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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Mimicking human vision: The new standard for medical image fidelity

AuntMinnie

Medical imaging is the economic artery of modern diagnostics, with AI-driven advancements prompting clinicians to rethink how they interpret scans. For instance, the global medical imaging AI market 1 is projected to expand eightfold by 2030, reaching an estimated $8.18 Ravinder Singh.

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Dark-field chest x-ray takes step forward

AuntMinnie

German developers of dark-field chest x-ray appear to have overcome a technical limitation of the technology – namely, adjusting for photon scattering caused by interferometers used in the experimental system. The article was published March 7 in IEEE Transactions on Medical Imaging.

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CMIMI: ChatGPT 'reasonably' accurate for identifying chest x-ray terms

AuntMinnie

ChatGPT-4 is reasonably accurate in identifying radiological terms on chest x-ray reports, according to research presented at the Conference on Machine Intelligence in Medical Imaging (CMIMI). Alsheikh and colleagues evaluated ChatGPT-4’s accuracy in identifying common radiological terms from chest x-ray reports.

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