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Teleradiology and Artificial Intelligence: Two major disruptive Technologies for the Medicine of the Future: Part 3

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No more dreams of the future: Artificial Intelligence (AI) is finding its important place in medical diagnostics. 

We at ERS – Emergency Radiology Schueller understand and operate telemedicine as an important, secure centre of medical data. Not only do we fully comply with the requirements of the GDPR and other international legal texts: We also develop our own high-security and high-availability networks so that our customers benefit from our all-round data protection at all times.

Naturally, all AI manufacturers are interested in offering their products to as many users as possible. Telemedicine, especially teleradiology, offers this possibility. Our technology at ERS – Emergency Radiology Schueller protects medical data on a global level and allows our customers and all interested medical professionals to use the most up-to-date AI that is best suited to their specific needs.

AI in teleradiology does not mean that the medical activity is shortened or even unnecessary. On the contrary: We at ERS – Emergency Radiology Schueller have been carrying out independent tests with what we believe to be the most appropriate AI for years. In this way we ensure that these AIs, which have been tested over a long period of time and with a lot of our own data, represent a significant benefit for medical diagnostics in the future. Man and machine go hand in hand. We attach the greatest importance to the fact that humans will always have dominion over AI.

 

What is www.radailogy.com? Read more about it in our report!

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Teleradiology and Artificial Intelligence: Two major disruptive Technologies for the Medicine of the Future: Part 2

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Teleradiology has established itself as a professional service that supports medical institutions in their daily tasks. And now the next innovation in medical diagnostics comes into play with Artificial Intelligence (AI). Read part 2 of our report here!

AI applications undergo a whole series of tests before they are ready for the market, which are essential for approval by the international regulatory authorities, such as the FDA in North America and CE in Europe. This creates the basis for AI results to be characterised by high sensitivity, specificity and accuracy. This means that the result for a characteristic that the AI used is looking for will contain the highest possible number of true positive results and at the same time only a negligible number of false positive and false negative results.

 

The prioritisation of investigations

We at ERS – Emergency Radiology Schueller work together with major AI developers. We help to produce such AI which enables patients to be prioritised according to the degree of injury and illness. The AI can thus help to triage in order to first produce those findings that are most urgently needed by our clinical partners in hospitals and institutes in Switzerland, Germany and Austria for patient treatment. Such AI enables a significantly improved allocation of resources and results in optimal individualised patient care.

 

What is the current status of the symbiosis of teleradiology and AI? Read more in part 3!

radailogy pixelshine blog may 2021 III

Leverage AI to extend the clinical utility of your CT scanner

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What if you could improve the diagnostic quality and utilization of your existing CT scanners without incurring the high cost associated with replacing them and refurbishing the CT suite? Using Deep Learning technology PixelShine can automatically enhance and harmonize the image quality of studies acquired by any CT scanner at the lowest possible dose – extending the life of older scanners and deferring costly and disruptive replacement projects. You find this exceptional opportunity on our AI platform Radailogy. It has a substantial impact on the traditional revenue stream of hospitals and imaging providers.