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AI medical imaging application developer Oxipit was granted CE Class IIb certification for ChestLink autonomous AI imaging suite. The application autonomously reports on chest X-rays featuring no abnormalities without any involvement from a radiologist. It is the first regulatory approved AI medical imaging application to perform diagnostics autonomously.

At the annual RSNA meeting, the AI medical imaging company will present the new ChestEye Quality AI double reading tool. To showcase vanguard ChestEye Quality capabilities, Oxipit will offer a free-of-charge quality audit for 6 months of retrospective CXR data.

Dr Naglis Ramanauskas is a researcher at Oxipit. Trained as a radiologist, he aims to use his first-hand clinical experience to maximize the added value of Oxipit medical imaging products. In this talk with Dr Ramanauskas we discuss how AI productization and workflow alignment are no less important than statistical model performance.

Prof Osmo Tervonen is a professor and a senior radiologist at Oulu University Hospital in Finland. He is also a partner in Parasmed - a Nairobi based medical device distributor, which provides access to emerging medical technologies to the countries in the East African region. In his interview with Oxipit, prof Tervonen shares his views on AI in healthcare and AI’s role in the field of value based medicine.

AI medical imaging company Oxipit appointed Dany Chammas as their new Chief Commercial Officer. With more than 15 years of experience in top tier medical imaging companies, Dany will join the Executive Team to increase Oxipit’s visibility and accelerate business growth.

In the last post we highlighted how AI medical imaging solutions can serve as ‘a second set of eyes’ reducing the risk of overlooked findings. Operating in near-real time, they can affect patient treatment decisions, mitigating the risk of missed potentially life-threatening pathologies.

In an interview with Oxipit Dr Erik Ranschaert singled out how AI and a radiologist operate as a team to arrive at a more precise diagnosis. In such clinical workflow, AI medical imaging solutions provide a ‘second set of eyes’ and mitigates the risk of overlooked findings.

Dr Erik Ranschaert is one of the key AI medical imaging experts in Europe. He is Digital Doctor at ETZ Hospital in Tilburg, responsible for developing a hospital-wide AI infrastructure. In this interview with Oxipit, Erik shares his views on AI tool adoption, future of radiology and why we should learn and unlearn.

As we are building our AI tools in Europe, multi-lingual availability is their integral feature. Our first product Oxipit ChestEye produces radiological reports (report out) in 14 languages. In addition, our platform can ingest radiological reports (report in) in any world language.

ChestLink analytical dashboard is an integral part of autonomous AI operations. The dashboard helps to ensure transparency, accountability and traceability of every taken action.