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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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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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Gleamer acquires Pixyl, Caerus Medical

AuntMinnie

AI medical imaging firm Gleamer has acquired two developers of AI-powered MRI applications, Pixyl and Caerus Medical. Pixyl is the developer of Pixyl.Neuro, which is CE-marked and has been cleared as a Class IIa medical device by the U.S. Financial and other details of the acquisitions were not disclosed.

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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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Penn. bill will change licensing rules for medical imaging personnel

AuntMinnie

The American Society of Radiologic Technologists (ASRT) said it supports a new Pennsylvania bill that requires licensing of medical imaging professionals, radiation therapists, radiologist assistants, and trainees. Pennsylvania Senate Bill 1281 Licensing of Medical Imaging Professionals (SB 1281) was introduced July 12.

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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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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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