PhD student at Masaryk University in Brno, specialist in AI, brain of Carebot. In the past, Daniel has worked on the use of artificial intelligence in music composition. He has successfully built one AI company and turn his knowledge into reality. He came up with Carebot to help people, healthcare professionals, doctors and the system to treat patients in more accurate and efficient way.
Former journalist specializing in health care, news show host and consultant. Matej has been extremely successful in his journalistic career, outside of presenting the main news show, he has regularly covered the health sector and regularly traveled with government abroad. Now he leads the management and direction of Carebot.
Karolína is a student of Anthropology at Masaryk University in Brno. Her interest in the human body is also her passion, which she pursues in every free moment. Thanks to her specialization, expertise and knowledge, Carebot project is built on solid foundations. Karolína is a new mother of a several-month-old daughter and contributes daily to the successful development of the app.
Carebot is a recommender system that can help detect findings that a doctor might miss and evaluate what pathologies appear on images. The AI-powered application greatly facilitates and improves the work of healthcare professionals involved in the evaluation of CXR. Yet, we keep in mind that doctor is and will always be the one who evaluates the image:
Up to 30%* of cases are misdiagnosed from radiographs. Up to 75% of all medical malpractice lawsuits are related to radiographic errors. Our goal is to eradicate any possible negligence. We target all hospitals and practices, not just in the Czech Republic.
(*Cognitive and System Factors Contributing to Diagnostic Errors in Radiology Cindy S. Lee1, Paul G. Nagy1, Sallie J. Weaver1 and David E. Newman-Toker1)1, Paul G. Nagy1, Sallie J. Weaver1 and David E. Newman-Toker1)
Carebot achieves an extraordinary success rate in the evaluation of X-ray images. At a time when lung cancer prevention is a major priority, Carebot is a significant aid in detecting nodule and mass-related findings. It will help to detect whether the patient has a malignant finding even at an early stage and will help with faster and more accurate treatment.
Carebot can be implemented directly into the PACS system on which the doctor evaluates the images. With a single mouse click, Carebot will immediately show where and what chest findings are present on the CXR image. The doctor does not need to change anything about his workflow.
Carebot can be an important assistant in the field of teleradiology or in heavily affected areas. For these cases, we have prepared a web application where the doctor can simply upload several images at once and Carebot evaluates them within a second. Feel free to try it now.
Carebot is a recommender system that can help detect findings that a doctor might miss and evaluate what pathologies appear on images. The AI-powered application greatly facilitates and improves the work of healthcare professionals involved in the evaluation of CXR. Yet, we keep in mind that doctor is and will always be the one who evaluates the image:
Carebot will simply become his best friend.
Rentgen hrudníku je jen začátek…
Představte si téměř jakoukoli screeningovou metodu prováděnou v systému zdravotní péče. Ve většině případů můžeme zabránit jakékoliv nevynucené lidské chybě a výrazně zlepšit kvalitu zdravotní péče.
We are aiming for European MDRIIa certification, which will enable us to deploy our solution as a standard in radiodiagnostic clinics, hospitals and surgeries. Carebot is certification-ready even also for overseas markets.