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.
The cumulative effect of the exposure to CT imaging compounds the need to achieve the lowest per-scan patient dose possible. While low-dose CT imaging techniques exist, there is often a compromise that must be made in both image quality and cost. Lower-dose studies have higher image noise, which results in lower quality images, which are more difficult to analyze. Iterative Reconstruction (IR) is still the most used technique for improving the quality of lower-dose imaging studies. However, IR can take substantially longer to process images and is prone to producing images with a waxy or blurry appearance if applied too strongly on low-dose studies. Deep Learning CT Processing (DLCP) is the next generation in CT image noise reduction techniques. DLCP not only improves CT images acquired during typically low-dose procedures like lung screening and pediatric exams, but it also presents the ability to significantly reduce radiation exposure for other higher-risk categories such as oncology and obese patients. In addition, it can improve the image quality of ultra-low-dose abdominal, cardiac, and brain scans. Radailogy presents PixelShine by AlgoMedica in order to assist to the reduction of CT radiation dose and from now on to substantially improve image quality in low dose CT studies.
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
Around the clock, every day of the year, medical examinations are uploaded to www.radailogy.com, which are processed by an Artificial Intelligence (AI) application in addition to the specialist assessment at the request of the referring physician. It is a world first: with its large team of Radailogists, who are specialists specially trained in AI, Radailogy offers its service online 24/7 as a combination of medical expertise and the latest AI technology.
ZUG – In thousands of our Swiss medical practices, around ten million X-ray examinations are performed and diagnosed every year. Precisely because X-ray diagnostics is of considerable importance in patient treatment, the question is raised as to whether diagnostic assistance can be offered through the specialist opinion transmitted by teleradiology and the use of artificial intelligence.
The most diverse AIs can be found and selected by means of simple queries, depending on the type of examination to be found. The simplest way to compare the process is with shopping in an app store: Doctors can compile the appropriate offer individually on the platform. The characteristics and the technical and medical-legal requirements for the use of each AI are presented and a hyperlink to the official websites of the AI manufacturers is also displayed for further information.
The choice of service is always displayed in detail to the doctor. As soon as the order is confirmed, the upload of the examination can begin.
DICOM examinations are uploaded as a ZIP file simply by dragging and dropping.
The specialist medical findings and/or the AI results are delivered to the doctors’ personal portal by noon of the next working day. Likewise, the invoices for the service provided can be accessed.
Radailogy offers online up-to-date AI from global manufacturers for many medical specialties. The platform is highly secure, available every day of the year and easy to use. The reporting by Radailogists – specialists in AI – enables the combination of medical expertise and innovative AI technology. This is to ensure that the medicine of the future remains in human hands and at the same time all patients benefit from AI technologies that have already become reality, according to the motto: Artificial Intelligence under radailogical control.
Medical examinations are uploaded around the clock every day of the year at www.radailogy.com. At the request of the referring physicians, they are processed by an artificial intelligence application (AI) in addition to the specialist medical assessment. It is a world first: with its large team of radailogists, who are specialists trained in AI, Radailogy online offers its services 24/7 as a combination of medical expertise and the latest AI technology.
Radailogy is made by doctors for doctors. Radailogy’s mission is to ensure that doctors always retain responsibility for medical procedures and that they continue to have control over computer programmes. Doctors should not be replaced, the responsibility for patients should not be left to autonomous computing algorithms. Instead, AI should provide doctors with meaningful support in their daily work, so that the efficient interaction of human competence and new AI technology brings the best possible results for each patient.
Which AI are offered?
Radailogy continuously offers new and useful AI for medical use on its highly secure online platform. Probably also thanks to the radiological work of its inventor ERS – Emergency Radiology Schueller, radiological AI can be found on www.radailogy.com at the beginning. The range of applications is constantly being expanded, with the focus on dermatology, internal medicine, pathology and other medical subjects.
What are the benefits of Radailogy for doctors?
The number of AI has simply become unmanageable in science and market introduction. Interested doctors and institutions are quickly overwhelmed with the evaluation of the desired AI on their own. Radailogy is an essential help here: With its own scouting team, new AIs are constantly being evaluated worldwide using its own test data. Radailogy accredits only those AIs that represent a substantial improvement in medical diagnostics and increase the efficiency of doctors. Every AI must be CE certified to be accepted by Radailogy.
It is a particular advantage of Radailogy that no doctor has to become a customer of a particular AI provider to use AI. Radailogy assumes the contractual obligations. And to use the platform, no contract with Radailogy is required. The services provided are charged according to the pay-per-use model already known from ERS teleradiology.
How does Radailogy work?
First, doctors are accredited by Radailogy to use the platform. This requires personal details and the upload of the medical certification. Doctors select one of currently four services:
At Combained, Radailogy doctors select the appropriate AI and the findings include the AI result.
With Defained, the referring doctors select a desired AI, which is then used by the radailogists to generate the findings.
Pure AI: If desired, AI results can also be queried without radailogical findings if the requesting physician is familiar with the desired AI.
Expert: It is also possible to have medical, mostly radiological examinations without the use of AI performed by the Radailogy team – also taking into account preliminary examinations. There is again no contractual obligation and the service can be requested 24 hours a day, every day of the year.
Conclusion and further benefits? Read on in part 2!
Teleradiology and Artificial Intelligence: Two major disruptive Technologies for the Medicine of the Future: Part 3
No more dreams of the future: Artificial Intelligence (AI) is finding its important place in medical diagnostics. Read part 3 of our report here!
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 next report!