IGNITE SESSION: Applications of AI in Medical Imaging
One of the most promising areas of AI is its use in medical imaging, where it has the potential to radically transform diagnostic processes, improve diagnostic accuracy and reduce the time needed to evaluate imaging studies. This presentation will provide an overview of the current state of AI technology in medical imaging, including the latest advances, challenges and opportunities these technologies bring.
The main goal is to show how AI can help doctors better recognize and interpret medical images, thereby improving the quality of patient care. We will present case studies, the results of our research, and discuss important results that have been achieved in areas such as radiology.
The main goal is to show how AI can help doctors better recognize and interpret medical images, thereby improving the quality of patient care. We will present case studies, the results of our research, and discuss important results that have been achieved in areas such as radiology.
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Peter Drotár
Peter Drotár received the PhD degree. in electronics at the Faculty of Electrical Engineering and Informatics of the Technical University in Košice in 2010. From 2010 to 2012, he worked at Honeywell International, Advanced Technology Europe as a scientist for communication and surveillance systems. Between 2012 and 2015, he worked as a postdoc/researcher at the SIX Research Center at the University of Technology in Brno. He is currently a professor at the Department of Computers and Informatics of the Technical University in Košice. His research interests include biomedical signal and image processing, artificial intelligence methods and machine learning. He leads research and development projects related to decision support systems and …
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