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The author of the Medimonitor project is miraclIS, SE. The project was managed with the contribution and support of OPPIK, as an innovation project under the subsidy title Applications of Ministry of Industry Czech Republic.
The subject of the project was to address a trend known in current clinical and outpatient practice as “second opinion diagnosis”. The public knows that when a physician diagnoses a patient, the patient subjectively perceives the physician’s information in such a way that he or she prefers to verify it and goes to another physician to find out further information, such as the developmental stage of the disease and the possibilities of therapy.
In the “Medimonitor” project, we aim to enable the examining physician, therapist or rehabilitation worker and other health care professionals to offer a second opinion on a diagnosis through shared data and artificial intelligence.
The impact of this solution is two-sided. It allows the physician to be supported in his DG by means of the so-called objectified diagnosis, and the patients to have an objective view of their treating physician’s diagnosis.
Scoliosis is a deformity of the spine. Its causes are as yet, despite the high level of science, unknown. That’s why we call it idiopathic scoliosis (of unknown origin). Scoliosis may or may not have a serious impact on quality of life, but neglected or unaware scoliosis therapy can cause serious secondary health problems as well as disability. We want to help prevent this from happening. The goal of scoliosis treatment is to stop its progression. With very few exceptions, scoliosis cannot be cured.
We have been cooperating for a long time, and not only on this project, with the Department of Biomedical Engineering of the University of Science and Technology of Brno, specifically with the team of Professor Penhaker. Together we have developed a number of very accurate predictive algorithms that can mine existing patient data and offer a high quality second opinion on diagnosis.
We are open to any cooperation. If you are interested in this issue or if you are a scoliotic patient and maybe you just want to share your experience, help other patients or just learn more, please contact us. We will definitely get in touch with you. We have workshops, mini- conferences, meetings with doctors and therapists. You can work with us regardless of your age, education. We welcome any interest. We cooperate with doctors, therapists, scientific institutions in our country and in Europe, USA and even in Brazil.
We would also like to establish collaboration with the community of outpatient physicians, orthoptic technicians, outpatient physicians and physiotherapists. We are able to provide them with qualified support when working with our product because we have engaged professional medical staff.
If you are interested in our work, particularly scoliotic curve analysis and predictions, please email us.
All your enquiries will be anonymous, and we will not ask for any information that would contravene patient records legislation.
If you would like advice about scoliosis, we can recommend doctors we work with.
If you send us an X-ray image and the patient’s gender, we will be happy to send you a second opinion on the diagnosis, generated by our artificial intelligence, which will be formulated by a doctor working with us.
If you as a healthcare professional or therapeutist are interested in cooperation with us, please email or just call. We will be happy to work with you.
Currently, we are working primarily with Hamza Medical Center in Luže Kosumberk.
The Medimonitor project is co-funded by the EU. We collaborate with the Department of Cybernetics and Biomedical Engineering at VŠB-TUO Ostrava on the Medimonitor project.
We welcome cooperation with other institutions and those interested in the development of second opinion diagnosis in other fields of medicine.
Our goal is to bring our application not only to the Czech but also to the international level and to expand the data base of the solution as much as possible so that it is possible to teach the application the most accurate opinion on second opinion diagnosis.