Blood in the urine (hematuria) is in some instances a symptom of urinary tract cancer. The forecasts of this disease are known to be serious, so it is very important to be diagnosed and treated early. The current methods of testing are comprehensive and may be uncomfortable and risky, and on top of that, they sometimes give the wrong result. A patient with urinary tract cancer therefore risks being over-, under- or undiagnosed. This PhD project will contribute with further research into urinary tract cancer, using artificial intelligence (AI) to gain more knowledge about the indicators of the disease, and to speed up the diagnostic process. The AI The Intelligent Patient Journal will assist in analyzing patient journals of hematuria patients in order to identify different bleeding symptoms and to link them together with the risk of cancer. This knowledge combined with other patient data will make it possible to identify which individuals to examine and thereby diagnose in time. AIM Developing an AI algorithm for diagnosing urinal tract cancer among hematuria patients. Examining risk factors, clinical courses and prognoses for urinal tract cancer and hematuria. Building a model for calculating the risk for urinal tract cancer when a person experiences blood in the urine. Validating a patient tool for self-reporting bleeding symptoms. This project will provide valuable information about risk factors for hematuria and the prognosis for hematuria and urinal tract cancer. It will also provide knowledge on how to handle patients with a bleeding risk. PROJECT PERIODStart: 31 March 2021 End: 1 June 2024 READ MORE This is a PhD project by Rasmus Søgaard Hansen. Read Rasmus’ publications View Rasmus’ LinkedIn profile PARTNERSMærsk Mc-Kinney Møller Institute, University of Southern Denmark Department of Clinical Biochemistry and Pharmacology, Odense University Hospital {:gb}a:2:{i:0;s:140:"";i:1;s:112:"";}{:} EXTERNAL FUNDINGUniversity of Southern Denmark (SDU) Region of Southern Denmark {:gb}a:2:{i:0;s:110:"";i:1;s:112:"";}{:} CONTACT Rasmus Søgaard Hansen PhD student | +45 65411956 | [email protected]

Ph.d.-projekt som skal koble kunstig intelligens sammen med MR-scanning for patienter med akut slagtilfælde.

Kunstig intelligens (AI) har potentialet til at kunne øge både effektiviteten og kvaliteten indenfor billeddiagnostik. Projektet vil udvikle og afprøve et AI-værktøj til diagnostik af brystkræft for at sikre tidligere og mere præcis diagnostik, som kan føre til hurtigere igangsættelse af behandling