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!

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!

At ERS, we have been working 24/7 for many hundreds of thousands of patients with our teleradiology for many years.

Our expertise particularly includes accident and emergency radiology, MSK and neuroradiology, pediatric acute radiology, cardiac and body imaging.

We are happy to share our knowledge with you and offer you the training to become a top level specialist in emergency radiology!

You learn with us online from anywhere in the world and choose your webinars yourself, right up to your professional certificates.

 

More information: https://www.emergencyradiology.ch/ers-akademie/

On 30.09.21 at 2.00 p.m. Dr. Schueller will give a presentation on the subject of “Teleradiology”.

 

Why Teleradiology?

People rightly expect more and more from medicine. Radiology has a particularly important role to play because it is always at the forefront of patient care to provide rapid and correct, groundbreaking answers.

 

Teleradiology is of great advantage here: it brings high expertise quickly to places where radiologists are not always available.

The steady development of ERS and Radailogy in the German-speaking market is accompanied by an ever-increasing media presence. The latest issue of ÖZK, the specialist magazine for managers in the German-speaking world, contains a brief update of all the news.

At ERS, we first listen for a long time to our customers’ requirements and wishes. Then we create solutions: Together with XCOORP we have developed a generation of connectors – called “Diagnostic Gate”.

Diagnostic Gate can be quickly and easily integrated into the PACS/RIS/KIS landscape of our customers. This small hardware system is connected to the existing infrastructure via HL7 and DICOM. Diagnostic Gate transmits the patient data via VPN/IPsec directly and is highly encrypted to our ERS/XCOORP data centres.

With this in-house development and the use of state-of-the-art technologies, we can now offer the connection to our teleradiology network free of charge for all customers – whether individual practices, institutes, or hospital holding companies. This means that from now on you only pay “pay-per-use”, i.e. only our reporting of your studies!

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.

Not only trauma centres and radiology institutes, but every doctor has to deal with the diagnosis of fractures. X-rays are still the first line modality, especially for peripheral skeletal trauma. Radailogy offers you a new CE approved app from the French company AZmed: Rayvolve. Either let Rayvolve process your X-ray images always in the background, or send us selected images with a specific question. Rayvolve has been trained on data sets of one million trauma images. AZmed gives Rayvolve a sensitivity of 96% and a specificity of 86%. In our own test series, Rayvolve performed as follows: Sensitivity 93%, Specificity 86%, PPW 92%, NPW 89%, Accuracy 91%. In a multicentre study, Rayvolve provided a time saving of 36% and an increase in specificity of 8%.
Rayvolve is proving to be a valuable aid for doctors in daily practice: whether the app is used occasionally, for example in doctors’ surgeries, or whether it is used to optimise the workflow in medical centres.
The best way to request Rayvolve is with our Radailogy services Defained or Pure AI. Register, upload and get started!
Info at www.radailogy.com